collaborators

9 papers

quant-ph2026

Long-lived memory effects in the defect bath of superconducting qubits

Abhishek Agarwal, Masum Uddin, Shroya Vaidya +5

We reveal long-lived memory effects in the defect bath of a superconducting transmon qubit through electric-field tuning of two-level system (TLS) defects coupled to the qubit. Usi…

quant-ph2026

Coulomb blockade in microscopic material defects as a source of decoherence and noise in solid-state quantum circuits

R. Banerjee, L. P. Lindoy, M. Hegedus +9

The paper identifies Coulomb blockade and microwave‑driven charge tunnelling in metallic grains as a previously unrecognised source of decoherence and noise in superconducting quan…

quant-ph2026

Dynamical Decoupling using Universal Optimal Tracking

Amit Devra, Emanuel Malvetti, Niklas J. Glaser +7

Dynamical decoupling (DD) is a widely used and resource-efficient technique for error suppression, but conventional DD relies on periodically repeating a short pulse block to refoc…

quant-ph2026

QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding

Shuxiang Cao, Zijian Zhang, Abhishek Agarwal +29

Quantum computing calibration depends on interpreting experimental data, and calibration plots provide the most universal human-readable representation for this task, yet no system…

math.ST2026

A Langevin sampler for quantum tomography

Tameem Adel, Abhishek Agarwal, Stéphane Chrétien +4

Quantum tomography involves obtaining a full classical description of a prepared quantum state from experimental results. We propose a Langevin sampler for quantum tomography, that…

quant-ph2025

Variational preparation of normal matrix product states on quantum computers

Ben Jaderberg, George Pennington, Kate V. Marshall +6

Preparing matrix product states (MPSs) on quantum computers is an essential routine in the simulation of many-body physics. However, widely-used schemes based on staircase circuits…