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Opinion | 100 Days of Javier Milei – The New York Times

Argentinas new president, Javier Milei, has been in office for just over 100 days. Since his inauguration on Dec. 10, Mr. Milei, a far-right libertarian, has been on a mission to end what he has described as an orgy of public spending by previous administrations that left him with the worst inheritance of any government in Argentinas history.

The extreme libertarian program that Mr. Milei says will make Argentina great again along with his unruly hair and tongue has attracted countless comparisons to Donald Trump and won him high praise from Mr. Trump and other powerful admirers. Elon Musk indicated that Mr. Mileis speech at the World Economic Forum in Davos, Switzerland, this year was so hot that it distracted from the act of sex.

But this political outsider is having a harder time convincing his fellow Argentines of his vision. A self-proclaimed anarcho-capitalist, Mr. Milei won the presidential race in November on promises to end Argentinas sky-high inflation through a free-market transformation of the state. So far, hes failed to deliver: Inflation doubled during his first month in office, though it has slowed down recently. Poverty rates have shot up; retail sales have plummeted. Mr. Milei has both faced widespread protests on the streets and hit a wall in Congress, which has twice so far rejected the plans he says will transform Argentina into a world power once again.

All of these headwinds have left a troubling question hanging over his new administration: Who is the real Javier Milei? Is he the economic visionary who won over voters and prompted Mr. Musk to predict that prosperity is ahead for Argentina? Or is he the power-hungry villain that tens of thousands of Argentines now march against on the streets, chanting The country is not for sale!

This much is certain: Mr. Milei is no Donald Trump. While his anti-establishment persona and inflammatory rhetoric invite easy comparisons to the former president, Mr. Milei is a product of a long South American history in which authoritarianism has been the norm and democracy the exception. Although he embraces some elements of the Trump populism flowing from North to South America including the Dont Tread on Me Gadsden flags he likes to pose with Mr. Milei is more archetypal South American caudillo, or strongman, than Trump aspirer.

Mr. Milei, like the Venezuelan strongman Hugo Chvez, his ideological opposite, is seeking extraordinary powers in the name of saving his country. For decades, Argentina has been held up by free-market economists as one of the worlds pre-eminent examples of how progressive economic policies can lead to disaster. The argument goes that while Argentina was ruled by conservatives in the late 19th and early 20th centuries, the country was among the worlds top economies, before left-leaning governments came to power and bloated spending with unaffordable social welfare programs, generating Argentinas chronic inflation problem. In his Dec. 10 inaugural speech, Mr. Milei waxed nostalgic for this long-ago time, boasting with undisguised exaggeration that Argentina was the richest country in the world and a beacon of light of the West.

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Opinion | 100 Days of Javier Milei - The New York Times

Demonstration of hypergraph-state quantum information processing – Nature.com

Silicon-photonic quantum chip

The chip is fabricated by standard complementary metal-oxide-semiconductor processes. The waveguide circuit patterns are defined on an 8 inches silicon-on-insulator (SOI) wafer through the 248 nm deep ultraviolet (DUV) photolithography processes and the inductively coupled plasma (ICP) etching processes. Once the waveguides layer is fabricated, a layer of silicon dioxide (SiO2) of 1m thickness was deposited by plasma-enhanced chemical vapor deposition (PECVD). Finally, thermal-optical phase-shifters are patterned by a layer of 50-nm-thick titanium nitride (TiN) deposited on top of waveguides. Single photons were generated and guided in silicon waveguides with a cross-section of 450nm220nm. The photon-pair sources were designed with a length of 1.2cm. Multimode interferometers (MMIs) with a width of 2.8m and length of 27m were used as balanced beamsplitters. The chip was wired-bounded on a PCB and each phase-shifter was individually controlled by an electronic driver. An optical microscopy image of the chip is shown in Fig.2a.

In our experiment, we used a tunable continuous wave (CW) laser at the wavelength of 1550.12 nm to pump the nonlinear sources, which was amplified to 100mW power using an erbium-doped fiber amplifier (EDFA). Photon-pairs of different frequencies were generated in integrated sources by the spontaneous four wave mixing (SFWM) process, and then spatially separated by on-chip asymmetric Mach-Zehnder interferometers (MZIs). The signal photon was chosen at the wavelength of 1545.32nm and the idler photon at 1554.94nm. Single-photons were routed off-chip for detection by an array of fiber-coupled superconducting nanowire single-photon detectors (SNSPDs) with an averaged efficiency of 85%, and photon coincidence counts were recorded by a multichannel time interval analyzer (TIA). The rate of photons is dependent on the choice of projective measurement bases. In the typical setting of our experiments, for example, when the state is projected to the eigenbasis, the two-photon coincidence rate was measured to be ~kHz, and the integration time in the projective measurement was chosen as 5s.

Our quantum photonic chip is shown in Fig.2a, which integrates more than 400 photonic components, allowing arbitrary on-chip preparation, operation, and measurement of four-qubit hypergraph states. Key ability includes the multiqubit-controlled unitary operations CmU, where U represents the arbitrary unitary operation (e.g., U=Z in our experiment) and m is the number of control qubits. The realization of multi-qubit CmU gates relies on the transformation from the entanglement sources to the entangling operations, by using the process of entanglement generationspace expansionlocal operationcoherent compression"28.

Firstly, the four-dimensional Bell state is created by coherently exciting an array of four spontaneous four-wave mixing (SFWM) sources. A pair of photons with different frequencies are then separated by on-chip asymmetric Mech-Zehnder interferometers and routed to different paths, resulting in the four-dimensional Bell state29:

$${leftvert {{{{{{{rm{Bell}}}}}}}}rightrangle }_{4}=frac{{leftvert 0rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{s}{leftvert 0rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{i}+{leftvert 1rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{s}{leftvert 1rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{i}+{leftvert 2rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{s}{leftvert 2rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{i}+{leftvert 3rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{s}{leftvert 3rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}^{i}}{2},$$

(3)

where (leftvert krightrangle) (k=0,1,2,3) represents the logical bases of qudits, and the superscripts of s,i represent the signal and idler single-photon, respectively. The two-qubit states are mapped to the four-dimensional qudit state in both of the signal and idler single-photon as the following:

$$left{begin{array}{c}leftvert 00rightrangle_{{{{{{{{rm{qubit}}}}}}}}}to leftvert 0rightrangle_{{{{{{{{rm{qudit}}}}}}}}}hfill\ leftvert 01rightrangle_{{{{{{{{rm{qubit}}}}}}}}}to leftvert 1rightrangle_{{{{{{{{rm{qudit}}}}}}}}}hfill\ leftvert 10rightrangle_{{{{{{{{rm{qubit}}}}}}}}}to leftvert 2rightrangle_{{{{{{{{rm{qudit}}}}}}}}}hfill\ {leftvert 11rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}to {leftvert 3rightrangle }_{{{{{{{{rm{qudit}}}}}}}}}hfillend{array}right.$$

(4)

This results in the four-qubit state as:

$$leftvert Phi rightrangle= frac{{leftvert 00rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{s}{leftvert 00rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{i}+{leftvert 01rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{s}{leftvert 01rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{i}}{2}\ +frac{{leftvert 10rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{s}{leftvert 10rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{i}+{leftvert 11rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{s}{leftvert 11rightrangle }_{{{{{{{{rm{qubit}}}}}}}}}^{i}}{2},$$

(5)

where (leftvert krightrangle) (k=0,1) represents the logical bases of qubits. For clarity, we omit the subscript of qubit in the following.

Secondly, we expand the Hilbert space of the idler-photonic qubit into a 4-dimensional space. After the space expansion process, we add two ancillary qubits ({leftvert phi rightrangle }^{i}) (third ququart) into the state:

$${leftvert Phi rightrangle }_{1}=frac{{leftvert 00rightrangle }^{s}{leftvert 00rightrangle }^{i}{leftvert phi rightrangle }^{i}+{leftvert 01rightrangle }^{s}{leftvert 01rightrangle }^{i}{leftvert phi rightrangle }^{i}+{leftvert 10rightrangle }^{s}{leftvert 10rightrangle }^{i}{leftvert phi rightrangle }^{i}+{leftvert 11rightrangle }^{s}{leftvert 11rightrangle }^{i}{leftvert phi rightrangle }^{i}}{2}.$$

(6)

Thirdly, the ancillary two-qubit ({leftvert phi rightrangle }^{i}) are locally operated using arbitrary two-qubit unitary gates represented by Uij. We apply different unitary operations U00, U01, U10, and U11 on the ({leftvert phi rightrangle }^{i}) (marked by different colors in Fig.2a). This returns a state:

$${leftvert Phi rightrangle }_{2}= frac{{leftvert 00rightrangle }^{s}{leftvert 00rightrangle }^{i}{leftvert {phi }_{R}rightrangle }^{i}+{leftvert 01rightrangle }^{s}{leftvert 01rightrangle }^{i}{leftvert {phi }_{Y}rightrangle }^{i}}{2}\ +frac{{leftvert 10rightrangle }^{s}{leftvert 10rightrangle }^{i}{leftvert {phi }_{G}rightrangle }^{i}+{leftvert 11rightrangle }_{1}{leftvert 11rightrangle }^{s}{leftvert {phi }_{B}rightrangle }^{i}}{2},$$

(7)

where subscripts of {R(ed), Y(ellow), G(reen), B(lue)} represent the state after Uij. The Uij are realized by universal linear-optical circuits30.

Finally, to preserve quantum coherence, the which-process information is erased in the coherent compression process. This swaps the state information of the idler qubits as:

$${leftvert Phi rightrangle }_{3}= frac{{leftvert 00rightrangle }^{s}{leftvert {phi }_{R}rightrangle }^{i}{leftvert 00rightrangle }^{i}+{leftvert 01rightrangle }^{s}{leftvert {phi }_{Y}rightrangle }^{i}{leftvert 01rightrangle }^{i}}{2}\ +frac{{leftvert 10rightrangle }^{s}{leftvert {phi }_{G}rightrangle }^{i}{leftvert 10rightrangle }^{i}+{leftvert 11rightrangle }^{s}{leftvert {phi }_{B}rightrangle }^{i}{leftvert 11rightrangle }^{i}}{2},$$

(8)

Through the post-selection procedure of projecting the last two qubits into the superposition state ((leftvert 00rightrangle+leftvert 01rightrangle+leftvert 10rightrangle+leftvert 11rightrangle )/2), we coherently compress the 16-dimensional space back into the 4-dimensional space with a success probability of 1/4, and we obtain:

$${leftvert Phi rightrangle }_{4}=frac{{leftvert 00rightrangle }^{s}{leftvert {phi }_{R}rightrangle }^{i}+{leftvert 01rightrangle }^{s}{leftvert {phi }_{Y}rightrangle }^{i}+{leftvert 10rightrangle }^{s}{leftvert {phi }_{G}rightrangle }^{i}+{leftvert 11rightrangle }^{s}{leftvert {phi }_{B}rightrangle }^{i}}{2}.$$

(9)

In short, the process of entanglement generation-space expansion-local operation-coherent compression" results in the multi-qubit entangling gate as:

$$leftvert 00rightrangle leftlangle 00rightvert {U}_{00}+leftvert 01rightrangle leftlangle 01rightvert {U}_{01}+leftvert 10rightrangle leftlangle 10rightvert {U}_{10}+leftvert 11rightrangle leftlangle 11rightvert {U}_{11}.$$

(10)

By reprogramming the linear-optical circuits for local unitary operations Uij, we can realize different multi-qubits controlled unitary gates such as CmZ, m3. For example, the triple-controlled CCCZ gate can be obtained by setting the configuration as U00=U01=U10=II and U11=CZ. The quantum chip thus enables the generation, operation and measurement of arbitrary four-qubit hypergraph states.

We here adopt the method proposed in ref. 31 to characterize the CCCZ gate. Since the CCCZ gate is invariant with respect to the permutation of the controlled and target qubits, we can characterize the gate by measuring the input-output truth tables for four complementary product bases. In these bases, three of the qubits are prepared and measured in the computational basis states {(leftvert 0rightrangle,leftvert 1rightrangle)} while the fourth qubit is prepared and measured in the Hadamard basis states {(leftvert+rightrangle,leftvert -rightrangle)}. Inputting the product state (vert {psi }_{i,j}rangle) returns a product state of (vert {psi }_{i,j}^{{{{{{{{rm{(out)}}}}}}}}}rangle={U}_{CCCZ}vert {psi }_{i,j}rangle). The measured truth tables are shown in Fig.2. We define the average statistic classical state fidelity as ({{{{{{{{rm{F}}}}}}}}}_{{{{{{{{rm{c}}}}}}}}(j)}=mathop{sum }nolimits_{i=1,k=1}^{16}{p}_{ik}{q}_{ik}/16), where pik and qik are the theoretical and measured distribution. According to the Choi-Jamiolkowski isomorphism, we define the Choi matrix of an ideal CCCZ gate as 0, and the experimental Choi matrix as , from which the quantum process fidelity for the CCCZ gate can be written as ({{{{{{{{rm{F}}}}}}}}}_{chi }={{{{{{{rm{Tr}}}}}}}}[chi {chi }_{0}]/({{{{{{{rm{Tr}}}}}}}}[{chi }_{0}]{{{{{{{rm{Tr}}}}}}}}[chi ])), where ({{{{{{{rm{Tr}}}}}}}}[{chi }_{0}]=16) accounts for the normalization. We obtain the generalized Hodmann bound of fidelity31 (the lower bounded process fidelity) for the CCCZ gate, which can be estimated from the four above averaged state fidelities as FFc1+Fc2+Fc3+Fc44.

In this part, we show the rule of LU transformation when applying local Pauli operations on the hypergraph states of (leftvert {{{{{{{rm{HG}}}}}}}}rightrangle=({prod }_{ein E}{C}_{e}){leftvert+rightrangle }^{otimes n})9, where e is a hyperedge connecting vertices {i1,i2,...,im} and ({C}_{e}=I-2({leftvert 1rightrangle }_{{i}_{1}}{leftvert 1rightrangle }_{{i}_{2}}cdots {leftvert 1rightrangle }_{{i}_{m}})cdot ({leftlangle 1rightvert }_{{i}_{1}}{leftlangle 1rightvert }_{{i}_{2}}cdots {leftlangle 1rightvert }_{{i}_{m}})) is the corresponding multiqubit controlled-Z gates. To show the LU transformation, as an example, we consider the case when applying the Pauli X-operation on the kth qubit. The state can be written as:

$${X}_{k}leftvert HGrightrangle= {X}_{k}(mathop{prod}limits_{ein E}{C}_{e}){leftvert+rightrangle }^{otimes n}\= (mathop{prod}limits_{ein E,enotni k}{C}_{e}){X}_{k}(mathop{prod}limits_{ein E,eni k}{C}_{e}){leftvert+rightrangle }^{otimes n}\= (mathop{prod}limits_{ein E,enotni k}{C}_{e})cdot left[right.{X}_{k}(mathop{prod}limits_{ein E,eni k}{C}_{e}){X}_{k}left]right.{leftvert+rightrangle }^{otimes n}\= (mathop{prod }limits_{ein E,enotni k}{C}_{e})cdot (mathop{prod}limits_{ein E,eni k}{X}_{k}{C}_{e}{X}_{k}){leftvert+rightrangle }^{otimes n}.$$

(11)

Now we focus on to the single operator XkCeXk. Assume the edge e connects vertices {1,2,...,m} and for simplicity we can assume k=1 is the first vertex (this does not sacrifice generality). Following the above assumption, we can write the operator explicitly as:

$${X}_{k}{C}_{e}{X}_{k}= {X}_{k}(I-2leftvert 11cdots 1rightrangle leftlangle 11cdots 1rightvert ){X}_{k}\= I-2leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightvert$$

(12)

Next step we separate Ce out on the left side. Notice that (I={C}_{e}^{2}) and

$$leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightvert= (I-2leftvert 11cdots 1rightrangle leftlangle 11cdots 1rightvert )cdot leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightvert \= {C}_{e}leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightvert$$

(13)

Therefore, we have

$${X}_{k}{C}_{e}{X}_{k}= I-2leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightverthfill \ = {C}_{e}cdot ({C}_{e}-2leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightvert )hfill\ = {C}_{e}cdot (I-2leftvert 11cdots 1rightrangle leftlangle 11cdots 1rightvert -2leftvert 01cdots 1rightrangle leftlangle 01cdots 1rightvert )\ = {C}_{e}cdot left(I-2cdot underbrace{(leftvert 1rightrangle leftlangle 1rightvert+leftvert 0rightrangle leftlangle 0rightvert )}_{begin{array}{c}{I}_{k}end{array}}otimes underbrace{leftvert 1cdots 1rightrangle leftlangle 11cdots 1rightvert }_{begin{array}{c}m-1end{array}}right)hfill\= {C}_{e}({I}_{k}otimes {C}_{e/{k}})$$

(14)

where Ce/{k} represents the multiqubit controlled gates corresponding to a new hyperedge {1,2,...,k1,k+1,..,m}.

Finally, we complete the proof by substituting the above formula into Eq.(11), which leads to

$${X}_{k}leftvert Grightrangle= (mathop{prod}limits_{ein E,enotni k}{C}_{e})cdot (mathop{prod}limits_{ein E,eni k}{X}_{k}{C}_{e}{X}_{k}){leftvert+rightrangle }^{otimes n}\= (mathop{prod}limits_{ein E,enotni k}{C}_{e})cdot (mathop{prod}limits_{ein E,eni k}{C}_{e}({I}_{k}otimes {C}_{e/{k}})){leftvert+rightrangle }^{otimes n}\= (mathop{prod}limits_{ein E}{C}_{e})cdot (mathop{prod}limits_{ein E,eni k}{C}_{e/{k}}){leftvert+rightrangle }^{otimes n}.$$

(15)

Equation (15) shows the LU transformation rule: applying a local Pauli X gate on a qubit equals to applying a series of multiqubit controlled-Z gates which connect other qubits that share the same edge with it.

We take an example to illustrate local unitary transformation, as shown in Fig.1c. The initial state is

$$leftvert psi rightrangle= leftvert 0000rightrangle+leftvert 0001rightrangle+leftvert 0010rightrangle+leftvert 0011rightrangle \ +leftvert 0100rightrangle -leftvert 0101rightrangle+leftvert 0110rightrangle+leftvert 0111rightrangle \ +leftvert 1000rightrangle+leftvert 1001rightrangle+leftvert 1010rightrangle+leftvert 1011rightrangle \ -leftvert 1100rightrangle -leftvert 1101rightrangle -leftvert 1110rightrangle -leftvert 1111rightrangle$$

(16)

After applying X3, which flips the third qubit, the state becomes

$$leftvert psi rightrangle=leftvert 0000rightrangle+leftvert 0001rightrangle+leftvert 0010rightrangle+leftvert 0011rightrangle \+leftvert 0100rightrangle+leftvert 0101rightrangle+leftvert 0110rightrangle -leftvert 0111rightrangle \+leftvert 1000rightrangle+leftvert 1001rightrangle+leftvert 1010rightrangle+leftvert 1011rightrangle \ -leftvert 1100rightrangle -leftvert 1101rightrangle -leftvert 1110rightrangle -leftvert 1111rightrangle$$

(17)

which can be quickly verified as the expression for the second hypergraph state in Fig.1c. Following a similar procedure, the hypergraph can be simplified to only two edges as shown in Fig.1c. The rule of LU transformation can be graphically described as the X(k) operation on the qubit k removes or adds these hyper-edges in E(k) depending on whether they exist already or not, where E(k) represents all hyper-edges that contain qubit k but removing qubit k out. The Z(k) operation on the qubit k remove the one-edge on the qubit k.

We here derive the basis used for the evaluation of MK polynomials M4 and ({M}_{4}^{{prime} }). The general form of Mn is given as37:

$${M}_{n}=frac{1}{2}{M}_{n-1}({a}_{n}+{a}_{n}^{{prime} })+frac{1}{2}{M}_{n-1}^{{prime} }({a}_{n}-{a}_{n}^{{prime} })$$

(18)

where an and ({a}_{n}^{{prime} }) are single-qubit operators and M1=a1. ({M}_{n}^{{prime} }) can be obtained by interchanging the terms with and without the prime. In particular, for the four-qubit state, we then have M4 and ({M}_{4}^{{prime} }):

$$left{begin{array}{l}{M}_{4}=frac{1}{2}{M}_{3}({a}_{4}+{a}_{4}^{{prime} })+frac{1}{2}{M}_{3}^{{prime} }({a}_{4}-{a}_{4}^{{prime} })quad \ {M}_{4}^{{prime} }=frac{1}{2}{M}_{3}^{{prime} }({a}_{4}+{a}_{4}^{{prime} })-frac{1}{2}{M}_{3}({a}_{4}-{a}_{4}^{{prime} }).quad end{array}right.$$

(19)

Similarly, {M3,M2} and {({M}_{3}^{{prime} },{M}_{2}^{{prime} })} can be obtained. We instead use an alternative way by dividing the original 4-qubit operators into 2-qubit by 2-qubit parts because of the implementation of qubit-qudit mapping in our device. This leads to the construction of the MK polynomials M4 and ({M}_{4}^{{prime} }) from M2 and ({M}_{2}^{{prime} }):

$$left{begin{array}{l}{M}_{4}=frac{1}{2}left[right.{M}_{2}({a}_{3}{a}_{4}^{{prime} }+{a}_{3}^{{prime} }{a}_{4})+{M}_{2}^{{prime} }({a}_{3}{a}_{4}-{a}_{3}^{{prime} }{a}_{4}^{{prime} })left]right.quad \ {M}_{4}^{{prime} }=frac{1}{2}left[right.{M}_{2}^{{prime} }({a}_{3}{a}_{4}^{{prime} }+{a}_{3}^{{prime} }{a}_{4})-{M}_{2}({a}_{3}{a}_{4}-{a}_{3}^{{prime} }{a}_{4}^{{prime} })left]right..quad end{array}right.$$

(20)

In experiment, we first measured the ({M}_{2},, {M}_{2}^{{prime} },, ({a}_{3}{a}_{4}^{{prime} }+{a}_{3}^{{prime} }{a}_{4})) and (({a}_{3}{a}_{4}-{a}_{3}^{{prime} }{a}_{4}^{{prime} })), and then estimated the MK polynomials M4 and ({M}_{4}^{{prime} }). A total number of 64 bases are required for M4 and ({M}_{4}^{{prime} }), each of which is determined by the choice of the corresponding ai and ({a}_{i}^{{prime} }).

In blind quantum computation, clients use the expensive resource states shared by the server to perform their measurements. In such a scenario, the average fidelity of the states generated by the server has to be verified before computation. Ideally, the clients are capable of estimating a lower bound of the state fidelity and verifying genuine entanglement, without much cost. We here use a protocol of color-encoding stabilizers41. To achieve a verification of fidelity larger than 10, the number of states required is given by

$$N=leftlceil frac{{{{{{rm{ln}}}}}}(delta)}{{{{{{rm{ln}}}}}}(1-epsilon_0/s)} rightrceil,$$

(21)

where s is the minimum number of colors in the hypergraph state, is the significance level and 0 denotes the error. This formula can be better understood in the following form

$$delta ge {(1-{epsilon }_{0}/s)}^{N},$$

(22)

where the right-hand side represents a total passing probability of the total N tests for a state with an infidelity 0. When this probability is smaller than the chosen significance level and a passing event occurs on the client side, we can draw the conclusion that the real infidelity of the state generated from the server should satisfy <0 with a significance level .

A simple transformation of Eq. (21) gives

$$bar{F}ge scdot {delta }^{1/N}-(s-1).$$

(23)

In the ideal case, if the generated state is exactly the target hypergraph state, i.e, F=1, the probability of passing the test is always 100%, while increasing the number of tests will result in a tighter bound (smaller 0). In reality, for experimental states with non-unit fidelity, the total passing probability will decrease exponentially with the number of tests N. When we define the single-test passing probability as (bar{P}), the total passing probability will take the form of ({bar{P}}^{N}), which should be kept above the significance level . Therefore, for a selected significance level, the maximum number of tests, which corresponds to the tightest bound on fidelity, should satisfy ({bar{P}}^{N}=delta). Replacing by ({bar{P}}^{N}) in Eq. (23) thus returns

$$bar{F}ge scdot bar{P}-(s-1).$$

(24)

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Demonstration of hypergraph-state quantum information processing - Nature.com

Revolutionizing Quantum Computing with Magnetic Waves – yTech

Summary: A team at Helmholtz-Zentrum Dresden-Rossendorf has introduced a groundbreaking quantum computing technique using magnons to manage qubits. Their research, broadening the horizons of quantum technology, might vastly improve computers capabilities and make them more scalable.

In a significant stride toward advanced quantum computing, researchers from the Helmholtz-Zentrum Dresden-Rossendorf have devised a novel approach to control and manage quantum bits, or qubitsfundamental units of quantum computers. This technique diverges from the traditional electromagnetic methods, and instead, harnesses magnons, which are disturbances within a magnetic field, to interact with qubits through a material known as silicon carbide.

The innovation sets itself apart by using the magnetic interactions in a nickel-iron alloy magnetic disk to manipulate qubits, side-stepping the limitations of current microwave antenna technologies. By employing magnons shorter wavelengths, the promise of denser and more powerful quantum computer architectures comes within reach. The results of this burgeoning research were published in Science Advances, detailing how magnons could serve as a new quantum bus, interfacing directly with the spin qubits that store quantum information.

While research is still underway to test the practical application of this method in quantum computing, the implications are vast. The potential for controlling numerous qubits and enabling their entanglement could revolutionize industries by providing more efficient cryptographic techniques and accelerating drug discovery processes.

With quantum computing still in its nascency, overcoming challenges such as error correction and the creation of stable qubit networks remains paramount. However, the Helmholtz-Zentrum Dresden-Rossendorfs breakthrough hints at an alternative pathway that mitigates some of these fundamental issues.

The progress made with magnons marks a crucial development towards viable, large-scale quantum computingan essential leap forward in technology that could reshape how we tackle the worlds most complex computational challenges.

Industry watchers point to agencies like the U.S. National Institute of Standards and Technology and The European Quantum Flagship initiative for up-to-date research and progress reports in this rapidly innovative field. These efforts underscore the increasing importance and potential impact of quantum computing on multiple sectors, from security to healthcare.

The discovery by the team at Helmholtz-Zentrum Dresden-Rossendorf of using magnons to manipulate qubits represents a potential paradigm shift for the quantum computing industryan industry that is still very much in its experimental and developmental stages but holds huge potential for transformative change across numerous fields.

Market Forecasts and Industry Growth Market forecasts for quantum computing are robust, with predictions of significant growth over the coming decades as the technology matures and becomes more commercially available. Analysts at companies like Gartner and MarketsandMarkets have projected that the quantum computing market could be worth billions of dollars in the ensuing decade. This optimism is based on advancements in quantum technologies and the increasing interest from governments and private sector participants in harnessing the power of quantum computers.

The quantum computing industry seeks to leverage the principles of quantum mechanics to perform calculations at speeds unattainable by traditional computers. This capability has the potential to transform industries by solving complex problems in fields such as cryptography, financial modeling, drug discovery, and logistics. Given its nascent stage, quantum computing attracts significant investments both from venture capitalists and public sector funds aimed at achieving strategic technological advantages.

Issues and Challenges Despite its promising outlook, the quantum computing industry faces numerous challenges that need to be addressed. Creating stable and scalable qubit systems, error correction, and developing a skilled workforce proficient in quantum technologies are among the hurdles the industry is grappling with. Furthermore, quantum computing is not immune to ethical and security concerns, especially considering the implications it has for breaking current encryption schemes used to protect data.

The development of new techniques like the one involving magnons presents a potential solution to some of these problems, especially related to the scalability and control of qubits. Nonetheless, the transition from groundbreaking research to practical application involves a significant amount of work and collaboration across various disciplines.

For those interested in keeping track of the latest advancements and industry trends, visiting the official websites of leading organizations and research institutions is advisable. You can refer to prominent agencies such as The U.S. National Institute of Standards and Technology or European research initiatives such as The European Quantum Flagship to obtain recent information and progress reports on quantum computing and quantum technologies.

The integration of magnons into quantum computing architectures is still a developing story, but it highlights the innovative spirit and continued evolution of this cutting-edge field. With ongoing research and development, quantum computing is poised to become a cornerstone of next-generation computing technology with the power to redefine our approach to solving the worlds most complex problems.

Leokadia Gogulska is an emerging figure in the field of environmental technology, known for her groundbreaking work in developing sustainable urban infrastructure solutions. Her research focuses on integrating green technologies in urban planning, aiming to reduce environmental impact while enhancing livability in cities. Gogulskas innovative approaches to renewable energy usage, waste management, and eco-friendly transportation systems have garnered attention for their practicality and effectiveness. Her contributions are increasingly influential in shaping policies and practices towards more sustainable and resilient urban environments.

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Revolutionizing Quantum Computing with Magnetic Waves - yTech

Trump’s social media company will go public after merger with shell company is approved – WDSU New Orleans

Donald Trump is returning to the stock market.Shareholders of Digital World Acquisition Corp., a publicly traded shell company, approved a deal to merge with the former presidents media business in a Friday vote. That means Trump Media & Technology Group, whose flagship product is social networking site Truth Social, will soon begin trading on the Nasdaq stock market.Related video above: Trump has days to pay $464 million bond before assets seizedTrump could receive a sizeable payout in the process. He would own most of the combined company or nearly 79 million shares. Multiply that by Digital Worlds closing stock price Thursday of $42.81, and the total value of Trump's stake could surpass $3 billion. The shares did fall 5% after the merger approval was announced.The deal's greenlight arrives at a time the presumptive Republican presidential nominee is facing his most costly legal battle to date: a $454 million judgment in a fraud lawsuit.But Trump won't be able to cash out the Friday deal's windfall immediately, unless some things change, due to a lock-up provision that prevents company insiders from selling newly issued shares for six months.Trump's presidential campaign did not immediately respond to request for comment.Trumps earlier foray into the stock market didnt end well. Trump Hotels and Casino Resorts went public in 1995 under the symbol DJT the same symbol Trump Media will trade under. By 2004, Trumps casino company had filed for bankruptcy protection and was delisted from the New York Stock Exchange.Ahead of the merger's approval, Digital World's regulatory filings listed many of the risks its investors face, as well as those of the Truth Social owner once Trump Media also goes public.One risk, the company said, is that Trump would be entitled to vote in his own interest as a controlling stockholder which may not always be in the interests of all shareholders. Digital World also cited the high rate of failure for new social media platforms, as well as Trump Media's expectation that it would lose money on its operations for the foreseeable future.Trump Media lost $49 million in the first nine months of last year, when it brought in just $3.4 million in revenue and had to pay $37.7 million in interest expenses.Trump Media and Digital World first announced their merger plans in October 2021. In addition to a federal probe, the deal has faced a series of lawsuits leading up to Friday's vote.Truth Social launched in February 2022, one year after Trump was banned from major social platforms including Facebook and Twitter, the platform now known as X, following the Jan. 6 insurrection at the U.S. Capitol. He's since been reinstated to both but has stuck with Truth Social as a megaphone for his message.Trump promoted Truth Social in a post on the social media network Thursday evening, saying: TRUTH SOCIAL IS MY VOICE, AND THE REAL VOICE OF AMERICA!!! MAGA2024!!!Trump Media hasn't so far disclose Truth Social's user numbers. But research firm Similarweb estimates that it had roughly 5 million active mobile and web users in February. That's far below TikTok's more than 2 billion and Facebook's 3 billion but still higher than rivals like Parler, which has been offline for nearly a year but is planning a comeback, or Gettr, which had less than 2 million visitors in February.

Donald Trump is returning to the stock market.

Shareholders of Digital World Acquisition Corp., a publicly traded shell company, approved a deal to merge with the former presidents media business in a Friday vote. That means Trump Media & Technology Group, whose flagship product is social networking site Truth Social, will soon begin trading on the Nasdaq stock market.

Related video above: Trump has days to pay $464 million bond before assets seized

Trump could receive a sizeable payout in the process. He would own most of the combined company or nearly 79 million shares. Multiply that by Digital Worlds closing stock price Thursday of $42.81, and the total value of Trump's stake could surpass $3 billion. The shares did fall 5% after the merger approval was announced.

The deal's greenlight arrives at a time the presumptive Republican presidential nominee is facing his most costly legal battle to date: a $454 million judgment in a fraud lawsuit.

But Trump won't be able to cash out the Friday deal's windfall immediately, unless some things change, due to a lock-up provision that prevents company insiders from selling newly issued shares for six months.

Trump's presidential campaign did not immediately respond to request for comment.

Trumps earlier foray into the stock market didnt end well. Trump Hotels and Casino Resorts went public in 1995 under the symbol DJT the same symbol Trump Media will trade under. By 2004, Trumps casino company had filed for bankruptcy protection and was delisted from the New York Stock Exchange.

Ahead of the merger's approval, Digital World's regulatory filings listed many of the risks its investors face, as well as those of the Truth Social owner once Trump Media also goes public.

One risk, the company said, is that Trump would be entitled to vote in his own interest as a controlling stockholder which may not always be in the interests of all shareholders. Digital World also cited the high rate of failure for new social media platforms, as well as Trump Media's expectation that it would lose money on its operations for the foreseeable future.

Trump Media lost $49 million in the first nine months of last year, when it brought in just $3.4 million in revenue and had to pay $37.7 million in interest expenses.

Trump Media and Digital World first announced their merger plans in October 2021. In addition to a federal probe, the deal has faced a series of lawsuits leading up to Friday's vote.

Truth Social launched in February 2022, one year after Trump was banned from major social platforms including Facebook and Twitter, the platform now known as X, following the Jan. 6 insurrection at the U.S. Capitol. He's since been reinstated to both but has stuck with Truth Social as a megaphone for his message.

Trump promoted Truth Social in a post on the social media network Thursday evening, saying: TRUTH SOCIAL IS MY VOICE, AND THE REAL VOICE OF AMERICA!!! MAGA2024!!!

Trump Media hasn't so far disclose Truth Social's user numbers. But research firm Similarweb estimates that it had roughly 5 million active mobile and web users in February. That's far below TikTok's more than 2 billion and Facebook's 3 billion but still higher than rivals like Parler, which has been offline for nearly a year but is planning a comeback, or Gettr, which had less than 2 million visitors in February.

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Trump's social media company will go public after merger with shell company is approved - WDSU New Orleans

Design rules and synthesis of quantum memory candidates – Newswise

In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.

In new research published in the Journal of the American Chemical Society, University of Illinois Urbana Champaign materials science & engineering professor Daniel Shoemaker and graduate student Zachary Riedel used density functional theory (DFT) calculations to identify possible europium (Eu) compounds to serve as a new quantum memory platform. They also synthesized one of the predicted compounds, a brand new, air stable material that is a strong candidate for use in quantum memory, a system for storing quantum states of photons or other entangled particles without destroying the information held by that particle.

The problem that we are trying to tackle here is finding a material that can store that quantum information for a long time. One way to do this is to use ions of rare earth metals, says Shoemaker.

Found at the very bottom of the periodic table, rare earth elements, such as europium, have shown promise for use in quantum information devices due to their unique atomic structures. Specifically, rare earth ions have many electrons densely clustered close to the nucleus of the atom. The excitation of these electrons, from the resting state, can live for a long timeseconds or possibly even hours, an eternity in the world of computing. Such long-lived states are crucial to avoid the loss of quantum information and position rare earth ions as strong candidates for qubits, the fundamental units of quantum information.

Normally in materials engineering, you can go to a database and find what known material should work for a particular application, Shoemaker explains. For example, people have worked for over 200 years to find proper lightweight, high strength materials for different vehicles. But in quantum information, we have only been working at this for a decade or two, so the population of materials is actually very small, and you quickly find yourself in unknown chemical territory.

Shoemaker and Riedel imposed a few rules in their search of possible new materials. First, they wanted to use the ionic configuration Eu3+ (as opposed to the other possible configuration, Eu2+) because it operates at the right optical wavelength. To be written optically, the materials should be transparent. Second, they wanted a material made of other elements that have only one stable isotope. Elements with more than one isotope yield a mixture of different nuclear masses that vibrate at slightly different frequencies, scrambling the information being stored. Third, they wanted a large separation between individual europium ions to limit unintended interactions. Without separation, the large clouds of europium electrons would act like a canopy of leaves in a forest, rather than well-spaced-out trees in a suburban neighborhood, where the rustling of leaves from one tree would gently interact with leaves from another.

With those rules in place, Riedel composed a DFT computational screening to predict which materials could form. Following this screening, Riedel was able to identify new Eu compound candidates, and further, he was able to synthesize the top suggestion from the list, the double perovskite halide Cs2NaEuF6. This new compound is air stable, which means it can be integrated with other components, a critical property in scalable quantum computing. DFT calculations also predicted several other possible compounds that have yet to be synthesized.

We have shown that there are a lot of unknown materials left to be made that are good candidates for quantum information storage, Shoemaker says. And we have shown that we can make them efficiently and predict which ones are going to be stable.

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Design rules and synthesis of quantum memory candidates - Newswise