collaborators

10 papers

quant-ph2026

Multi-purpose quantum laboratories from superconducting circuits

Arpit Arora, Emily M. Been, William Munizzi +4

Superconducting circuits (SCs) are the cornerstone of modern quantum technology, enabling scalable computing through coherent control of macroscopic quantum states. Through a legac…

quant-ph2026

Quantum Error Mitigation with Diffusion-Like Models

Yuval Idan, Ofek Nourian, Elad Mentovich +2

Coupling between a quantum system and its environment causes decoherence by transferring information from the system to environmental degrees of freedom. When discretized in time,…

quant-ph2026

Unidirectional Dark-to-Bright Rescue in Cavity-Coupled Quantum Transport

Jack Diab, Arpit Arora, Taylor L. Patti +1

Strong light-matter coupling in optical microcavities can transport energy ballistically across an emitter array, but the same coupling buries most of the excitation in a manifold…

quant-ph2026

Inverse Design of Quantum Control Sequences with Fourier Neural Operators

Anastasia Pipi, Valentin Duruisseaux, Emily Been +4

Quantum optimal control is a key tool for steering quantum dynamics, but its computational cost grows rapidly with the Hilbert space dimension. Here, we introduce a Fourier Neural…

quant-ph2026

Component-Level Inverse Design of Transmon Qubits Using Neural Networks

Olivia Seidel, Firas Abouzahr, Abhishek Chakraborty +11

Designing a superconducting qubit to realize specific Hamiltonian parameters typically requires iterating through a time and compute-intensive forward loop in which the designer ch…

quant-ph2026

Elevating Variational Quantum Semidefinite Programs for Polynomial Objectives

Iria W. Wang, Robin Brown, Taylor L. Patti +3

Many practically important NP-hard optimization problems are inherently higher-order polynomial optimizations, which are typically addressed using approximation algorithms. Classic…