A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

Quantum annealing is a computing paradigm that has the ambitious goal of efficiently
solving large-scale combinatorial optimization problems of practical importance. However …

Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

We discuss how quantum computation can be applied to financial problems, providing an
overview of current approaches and potential prospects. We review quantum optimization …

The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained
binary optimization (QUBO) problems. It is implemented on application-specific CMOS …

Combinatorial optimization problems are ubiquitous but difficult to solve. Hardware devices
for these problems have recently been developed by various approaches, including …

Abstract We introduce Strawberry Fields, an open-source quantum programming
architecture for light-based quantum computers, and detail its key features. Built in Python …

This work presents a quantum algorithm for the Monte Carlo pricing of financial derivatives.
We show how the relevant probability distributions can be prepared in quantum …

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