activity
20102023
most citedQuantum computing for finance

286 citations · 900 across the 28 of their papers we have counts for

collaborators

32 papers

quant-ph2023★ 26 cited

Demonstration of a parity-time symmetry breaking phase transition using superconducting and trapped-ion qutrits

Alena S. Kazmina, Ilia V. Zalivako, Alexander S. Borisenko +21

Scalable quantum computers hold the promise to solve hard computational problems, such as prime factorization, combinatorial optimization, simulation of many-body physics, and quan…

quant-ph2023★ 286 cited

Quantum computing for finance

Dylan Herman, Cody Googin, Xiaoyuan Liu +5

Quantum computers are expected to surpass the computational capabilities of classical computers and have a transformative impact on numerous industry sectors. We present a comprehe…

quant-ph2023★ 3 cited

Similarity-Based Parameter Transferability in the Quantum Approximate Optimization Algorithm

Alexey Galda, Eesh Gupta, Jose Falla +4

The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. A…

q-bio.BM2022★ 2 cited

Multibody molecular docking on a quantum annealer

Mohit Pandey, Tristan Zaborniak, Hans Melo +2

Molecular docking, which aims to find the most stable interacting configuration of a set of molecules, is of critical importance to drug discovery. Although a considerable number o…

quant-ph2022

Towards a scalable discrete quantum generative adversarial neural network

Smit Chaudhary, Patrick Huembeli, Ian MacCormack +3

We introduce a fully quantum generative adversarial network intended for use with binary data. The architecture incorporates several features found in other classical and quantum m…

quant-ph2022

Augmenting QAOA Ansatz with Multiparameter Problem-Independent Layer

Michelle Chalupnik, Hans Melo, Yuri Alexeev +1

The quantum approximate optimization algorithm (QAOA) promises to solve classically intractable computational problems in the area of combinatorial optimization. A growing amount o…