Quantum

Quantum Finance

We now know that quantum computers have the potential to boost the performance of machine learning systems, and may eventually power efforts in fields from drug discovery to fraud detection. We're doing foundational research in quantum ML to power tomorrow’s smart quantum algorithms.

Quantum Machine Learning

Few datasets are as complex as those in finance, and quantum computing could reveal hidden patterns in complex data. We’re developing algorithms to reveal once-invisible dynamic arbitrage opportunities, better react to volatility, and serve other crucial unmet needs in the financial sector. 

The Decentralized Trust team aim to build the next generation critical infrastructure for financial services and beyond. This refers to management of digitised (or tokenized) currencies, e.g., Central Bank Digital Currencies, Tokenized Deposits, Tokenized Securities/Bonds, but expands to stablecoins and other types of assets like carbon credits. 

Trusted Decentralized Systems

Leveraging decentralization to enable cross-enterprise identity, business asset exchange and optimized supply chains.

Quantum advantage requires innovation at every layer of the quantum stack. Our software team works alongside the hardware developers to build an expansive library of quantum circuits and to create programming tools so that anyone can develop their own quantum software.

Quantum Circuits and Software

Quantum computing represents a paradigm shift in the types of problems we can solve. Getting it right requires deep understanding of the underlying theory. We’re exploring the fundamentals of quantum science, from entanglement and superposition to the development of novel quantum algorithms. 

Quantum Information Science

An open-source framework that contains uncertainty components for stock/securities problems, Ising translators for portfolio optimizations and data providers to source real or random data to finance experiments.

Quantum Finance

Publications

Challenges and opportunities in quantum optimization

A More General Quantum Credit Risk Analysis Framework

Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection

Credit Risk Analysis Using Quantum Computers

Efficient State Preparation for Quantum Amplitude Estimation

Quantum Computing for Finance: State-of-the-Art and Future Prospects

Tools + code

Qiskit Finance

Related topics