Archive for July, 2020

Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery – TechCrunch

Menten AI has an impressive founding team and a pitch that combines some of the hottest trends in tech to pursue one of the biggest problems in healthcare new drug discovery. The company is also $4 million richer with a seed investment from firms including Uncork Capital and Khosla Ventures to build out its business.

Menten AIs pitch to investors was the combination of quantum computing and machine learning to discover new drugs that sit between small molecules and large biologics, according to the companys co-founder Hans Melo.

A graduate of the Y Combinator accelerator, which also participated in the round alongside Social Impact Capital*, Menten AI looks to design proteins from scratch. Its a heavier lift than some might expect, because, as Melo said in an interview, it takes a lot of work to make an actual drug.

Menten AI is working with peptides, which are strings of amino acid chains similar to proteins that have the potential to slow aging, reduce inflammation and get rid of pathogens in the body.

As a drug modality [peptides] are quite new, says Melo. Until recently it was really hard to design them computationally and people tried to focus on genetically modifying them.

Peptides have the benefit of getting through membranes and into cells where they can combine with targets that are too large for small molecules, according to Melo.

Most drug targets are not addressable with either small molecules or biologics, according to Melo, which means theres a huge untapped potential market for peptide therapies.

Menten AI is already working on a COVID-19 therapeutic, although the companys young chief executive declined to disclose too many details about it. Another area of interest is in neurological disorders, where the founding team members have some expertise.

Image of peptide molecules. Image Courtesy: D-Wave

While Menten AIs targets are interesting, the approach that the company is taking, using quantum computing to potentially drive down the cost and accelerate the time to market, is equally compelling for investors.

Its also unproven. Right now, there isnt a quantum advantage to using the novel computing technology versus traditional computing. Something that Melo freely admits.

Were not claiming a quantum advantage, but were not claiming a quantum disadvantage, is the way the young entrepreneur puts it. We have come up with a different way of solving the problem that may scale better. We havent proven an advantage.

Still, the company is an early indicator of the kinds of services quantum computing could offer, and its with that in mind that Menten AI partnered with some of the leading independent quantum computing companies, D-Wave and Rigetti Computing, to work on applications of their technology.

The emphasis on quantum computing also differentiates it from larger publicly traded competitors like Schrdinger and Codexis.

So does the pedigree of its founding team, according to Uncork Capital investor, Jeff Clavier. Its really the unique team that they formed, Clavier said of his decision to invest in the early-stage company. Theres Hans the CEO who is more on the quantum side; theres Tamas [Gorbe] on the bio side and theres Vikram [Mulligan] who developed the research. Its kind of a unique fantastic team that came together to work on the opportunity.

Clavier has also acknowledged the possibility that it might not work.

Can they really produce anything interesting at the end? he asked. Its still an early-stage company and we may fall flat on our face or they may come up with really new ways to make new peptides.

Its probably not a bad idea to take a bet on Melo, who worked with Mulligan, a researcher from the Flatiron Institute focused on computational biology, to produce some of the early research into the creation of new peptides using D-Waves quantum computing.

Novel peptide structures created using D-Waves quantum computers. Image Courtesy: D-Wave

While Melo and Mulligan were the initial researchers working on the technology that would become Menten AI, Gorbe was added to the founding team to get the company some exposure into the world of chemistry and enzymatic applications for its new virtual protein manufacturing technology.

The gamble paid off in the form of pilot projects (also undisclosed) that focus on the development of enzymes for agricultural applications and pharmaceuticals.

At the end of the day what theyre doing is theyre using advanced computing to figure out what is the optimal placement of those clinical compounds in a way that is less based on those sensitive tests and more bound on those theories, said Clavier.

*This post was updated to add that Social Impact Capital invested in the round. Khosla, Social Impact, and Uncork each invested $1 million into Menten AI.

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Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery - TechCrunch

Six things you need to learn about quantum computing in finance – eFinancialCareers

This willcome as bad news if you're only just getting to grips with Python, but you should probably be thinking of adding quantum computing to your repertoire if you want to maintain your long term employability in finance. Both Goldman Sachs and JPMorgan have been investigating the application of quantum computers to their businesses, and many say it's less a question of if than whenquantum computing is more widely applied.

Both Google and IBM are competing for quantum leadership. Google declared that it had achieved 'quantum supremacy' last October,a claimpromptly disputed by IBM, which said that Google's assertion was misleading. IBM itself now has 18 quantum computersthatcan be accessed via the cloud and that are already used by JPMorgan to set derivatives prices. In a new report*, IBM researchers includingDaniel Egger, Claudio Gambella,Jakub Marecek,Scott McFaddin, and Martin Mevissenargue that this is just the start.

Over time, the researchers say banks will use quantum computers for everything from creating value at risk and liquidity coverage ratios to running simulations to enable more accurate calculations of net stable funding ratios and pricing financial instruments. In preparation for this future they suggest you familiarize yourself with the following six quantum algorithms.

1. The Variational Quantum Eigensolver

The Variational Quantum Eigensolver (VQE) is used for optimization applications. It harnesses energy states to calculate the function of the variables it needs to optimize and is good whenstandard computers struggle due to the intensity of the computing required. In financial services, IBM says the VQE can be used in portfolio optimization. The only problem is that the number of qubits you need increases signficantly withproblem size.

2. The Quantum Approximate Optimization

TheQuantum Approximate Optimization is used to optimize combined problems and tond solutions to problems with complex constraints. IBM says it can be combined with VQE forportfolio optimization.

3. TheQuantum Amplitude Estimator

TheQuantum Amplitude Estimator(QAE) is used in simulations, optimizations and machine learning. It allows users to create simulation scenarios by estimating an unknown property in the style of the Monte Carlo method. Instead of simple samplying random distributions, the QAE can handle them directly and this dramatically speeds up simulation time. In finance, it can be used for option pricing, portfolio risk calculations,issuance auctions, anti-money laundering operations and identifying fraud.

4.Quantum Support Vector Machines

Quantum support vector machines (QSVM) applysupervised machine learning to high dimensional problem sets. Used for financial forecasting, they map data into a 'quantum-enhanced feature space' that enables the separation of data points and improvedforecastaccuracy.

5. Harrow, Hassidim, and Lloyd

Harrow, Hassidim, and Lloyd (HHL) is used for optimization and machine learning and enables better measurement of large linear systems by exponentially speeding up calculations. It can be used for credit scoring.

6.Quantum Semidenite Programming

Quantum Semidefinite Programming (QDSP) is used to optimize a linear objective over a set of positive semi-denite matrices. It can be used for portfolio diversification and "exponentially" speeds-up calculations when there are particular constraints.

As the financial services industry is subject to the combined demands of, "sophisticated risk analysis, dynamic client management, constant updates to market volatility, and faster transaction speeds," IBM's researchers predict quantum algorithms are primed for take-off. Now might be a good time to start familiarizing yourself with how they work.

*Quantum computing for Finance: state of the art and future prospects

Have a confidential story, tip, or comment youd like to share? Contact: sbutcher@efinancialcareers.com in the first instance. Whatsapp/Signal/Telegram also available. Bear with us if you leave a comment at the bottom of this article: all our comments are moderated by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. Eventually it will unless its offensive or libelous (in which case it wont.)

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Six things you need to learn about quantum computing in finance - eFinancialCareers

Quantum Computing Market: In-Depth Market Research and Trends Analysis till 2030 – Cole of Duty

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Global Quantum Computing Market REPORT (2020-2026) | THE DEMAND FOR THE MARKET WILL DRASTICALLY INCREASE IN THE FUTURE - NJ MMA News

Regional Analysis and Strategies of Quantum Computing Technology Market during the Forecasted Period 2020-2030 – 3rd Watch News

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Regional Analysis and Strategies of Quantum Computing Technology Market during the Forecasted Period 2020-2030 - 3rd Watch News