activity
20242026
collaborators

9 papers

cond-mat.mtrl-sci2026

The Future of Computing for Materials Science Challenges

Phalgun Lolur, Richard P. Padbury, George H. Booth +10

Materials discovery increasingly relies on the coordinated use of theory, computation, experiment, data-driven methods, and emerging quantum technologies, yet the full potential of…

quant-ph2026

Efficient Quantum Implementation of Dynamical Mean Field Theory for Correlated Materials

Norman Hogan, Efekan Kökcü, Thomas Steckmann +6

The accurate theoretical description of materials with strongly correlated electrons is a formidable challenge in condensed matter physics and computational chemistry. Dynamical Me…

quant-ph2025

Quantum Sensing using Geometrical Phase in Qubit-Oscillator Systems

Nishchay Suri, Zhihui Wang, Tanay Roy +2

We present a quantum sensing protocol for coupled qubit-oscillator systems that surpasses the standard quantum limit (SQL) by exploiting a geometrical phase. The signal is encoded…

quant-ph2025

Combining Error Detection and Mitigation: A Hybrid Protocol for Near-Term Quantum Simulation

Dawei Zhong, William Munizzi, Huo Chen +1

Practical implementation of quantum error correction is currently limited by near-term quantum hardware. In contrast, quantum error mitigation has demonstrated strong promise for i…

quant-ph2025

Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution

Efekan Kökcü, Daan Camps, Lindsay Bassman Oftelie +3

Recently we developed a local and constructive algorithm based on Lie algebraic methods for compressing Trotterized evolution under Hamiltonians that can be mapped to free fermions…

quant-ph2025

Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor

Aaron Szasz, Ed Younis, Wibe Albert de Jong

Models of interacting many-body quantum systems that may realize new exotic phases of matter, notably quantum spin liquids, are challenging to study using even state-of-the-art cla…