activity
20222026
most citedSimulating neutrino oscillations on a superconducting qutrit

15 citations · 23 across the 16 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

quant-ph2026

The Expressive Power of Constrained QAOA: What You Might Have MISsed

Boris Tsvelikhovskiy, Bao Bach, Ilya Safro

Feasibility-preserving mixer Hamiltonians offer an attractive alternative to penalty encodings for constrained quantum optimization, yet how enforcing constraints alters the state…

quant-ph2026

Efficient Estimation of Reduced QAOA Expressibility on Acyclic Graphs

Bao Bach, Boris Tsvelikhovskiy, Jose Falla +1

Classically equivalent formulations of an optimization problem need not lead to equivalent quantum algorithms. For MaxCut, fixing the value of a single vertex removes a simple glob…

quant-ph2026

Warm-Starting MaxCut Relaxation via Low-Depth Quantum Approximate Optimization Algorithm

Bao G. Bach, Ilya Safro, Filip B. Maciejewski

Quantum optimization has attracted growing interest as quantum hardware continues to improve, yet state-of-the-art classical solvers remain a formidable benchmark for practical uti…

quant-ph2026

Quantum Hypergraph Partitioning

Cameron Ibrahim, Bao G. Bach, Jad Salem +4

Quantum optimization algorithms are inherently probabilistic, yet they are most often used to search for a single high-quality solution. In this paper, we instead study hypergraph…

quant-ph2026

Scaling Qubit Mapping and Routing With Position Graph Abstraction and Memoization

Brent Russon, Bao Bach, Ed Younis +1

Scalable qubit mapping and routing remain major bottlenecks in quantum compilation, especially for Trapped-Ion Quantum Charge-Coupled device (TI-QCCD) architectures, where qubit in…

quant-ph2026

Learning Cut Distributions with Quantum Optimization

Bao Bach, Cameron Ibrahim, Reuben Tate +3

Many combinatorial optimization problems admit a maximin fairness variant, where the aim is to find a distribution over possible solutions which maximizes an expected worst-case ou…

quant-ph2026

Reductions of QAOA Induced by Classical Symmetries: Theoretical Insights and Practical Implications

Boris Tsvelikhovskiy, Bao Bach, Jose Falla +1

The performance of the Quantum Approximate Optimization Algorithm (QAOA) is closely tied to the structure of the dynamical Lie algebra (DLA) generated by its Hamiltonians, which de…