6 papers
Zeno Blockade Enabling Photonic Quantum Optimization
Mohammad-Ali Miri, Uchenna Chukwu, Nicholas Chancellor
In this work we explore the potential of implementing an optical quantum optimizer using non-linear optics, specifically using sum-frequency generation and/or two photon absorption…
Quantum annealing and condensed matter physics
Viv Kendon, Nicholas Chancellor
Quantum annealing leverages the properties of interacting quantum spin systems to solve computational problems, typically optimisation problems. Current hardware now has capabiliti…
Improving success probability in the LHZ parity embedding by computing with quantum walks
Jemma Bennett, Nicholas Chancellor, Viv Kendon +1
The LHZ parity embedding is one of the front-running methods for implementing difficult-to-engineer long-range interactions in quantum optimisation problems. Continuous-time quantu…
A Review and Collection of Metrics and Benchmarks for Quantum Computers: definitions, methodologies and software
Deep Lall, Abhishek Agarwal, Weixi Zhang +15
Quantum computers have the potential to provide an advantage over classical computers in a number of areas. Numerous metrics to benchmark the performance of quantum computers, rang…
Experimental demonstration of improved quantum optimization with linear Ising penalties
Puya Mirkarimi, David C. Hoyle, Ross Williams +1
The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which c…
Quantum optimization with linear Ising penalty functions for customer data science
Puya Mirkarimi, Ishaan Shukla, David C. Hoyle +2
Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate op…