activity
20242026
most citedDiagonalization of large many-body Hamiltonians on a quantum processor

23 citations · 55 across the 11 of their papers we have counts for

collaborators

13 papers

quant-ph2026

Quantum error mitigation from information dynamics

Philippe Suchsland, Thomas Schuster, Manuel S. Rudolph +3

Overcoming experimental errors is a central challenge in quantum science. This challenge is particularly acute in large and complex quantum circuits, where quantum information spre…

quant-ph2026

Extracting Electromagnetic Bare Mode Couplings in Large Superconducting Quantum Processors

Reza Molavi, Ebrahim Forati, Yaxing Zhang +9

High-fidelity control of superconducting quantum processors requires accurate characterization of electromagnetic coupling strengths among the device's constituent elements. Accura…

quant-ph2026

Precision quantum simulation of magnon spectra and interactions

Trond I. Andersen, Nikita Astrakhantsev, Jeronimo Martinez +329

Quantum simulation promises to advance materials discovery by accurately simulating complex states of matter, their microscopic excitations, and macroscopic response functions. The…

quant-ph2026

Quantum Enhanced Pauli Propagation

S. Majumder, J. R. Garrison, L. Luo +8

Accurately estimating observables on noisy quantum devices remains a central challenge for near-term quantum algorithms. While quantum error mitigation techniques can reduce noise-…

quant-ph2026

Multifractal and Glassy Signatures of Non-Ergodic 2D Quantum Dynamics

Aleksey Lunkin, Nicole S. Ticea, Michael T. Solomon +296

The fate of ergodicity and localization in disordered, interacting quantum systems in two spatial dimensions remains an outstanding open problem in non-equilibrium physics. Theoret…

quant-ph2025

Magic state cultivation on a superconducting quantum processor

Emma Rosenfeld, Craig Gidney, Gabrielle Roberts +292

Fault-tolerant quantum computing requires a universal gate set, but the necessary non-Clifford gates represent a significant resource cost for most quantum error correction archite…

quant-ph2025

Reinforcement Learning Control of Quantum Error Correction

Volodymyr Sivak, Alexis Morvan, Michael Broughton +296

Quantum error correction (QEC) is the primary strategy for protecting a quantum computer from the environment. Its prerequisite is that errors must remain sufficiently rare, which…

quant-ph2025

Quantum computation of molecular geometry via many-body nuclear spin echoes

C. Zhang, R. G. Cortiñas, A. H. Karamlou +320

Quantum-information-inspired experiments in nuclear magnetic resonance spectroscopy may yield a pathway towards determining molecular structure and properties that are otherwise ch…

quant-ph2024★ 1 cited

Measuring central charge on a universal quantum processor

Nazlı Uğur Köylüoğlu, Swarndeep Majumder, Mirko Amico +5

Central charge is a fundamental quantity in conformal field theories (CFT), and plays a crucial role in determining universality classes of critical points in two-dimensional syste…

quant-ph2024

Entanglement-enhanced learning of quantum processes at scale

Alireza Seif, Senrui Chen, Swarnadeep Majumder +6

Learning unknown processes affecting a quantum system reveals underlying physical mechanisms and enables suppression, mitigation, and correction of unwanted effects. Describing a g…

quant-ph2024★ 23 cited

Diagonalization of large many-body Hamiltonians on a quantum processor

Nobuyuki Yoshioka, Mirko Amico, William Kirby +16

The estimation of low energies of many-body systems is a cornerstone of computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-f…

quant-ph2024★ 9 cited

Realizing string-net condensation: Fibonacci anyon braiding for universal gates and sampling chromatic polynomials

Zlatko K. Minev, Khadijeh Najafi, Swarnadeep Majumder +5

The remarkable complexity of the vacuum state of a topologically-ordered many-body quantum system encodes the character and intricate braiding interactions of its emergent particle…

quant-ph2024★ 22 cited

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows

Hong-Ye Hu, Andi Gu, Swarnadeep Majumder +7

Extracting information efficiently from quantum systems is a major component of quantum information processing tasks. Randomized measurements, or classical shadows, enable predicti…