activity
20082024
most citedFirst Look at the Physics Case of TLEP

429 citations · 1.2k across the 20 of their papers we have counts for

collaborators

21 papers

quant-ph2024

Demonstrating real-time and low-latency quantum error correction with superconducting qubits

Laura Caune, Luka Skoric, Nick S. Blunt +22

Quantum error correction (QEC) will be essential to achieve the accuracy needed for quantum computers to realise their full potential. The field has seen promising progress with de…

quant-ph2024★ 1 cited

Leakage Mobility in Superconducting Qubits as a Leakage Reduction Unit

Joan Camps, Ophelia Crawford, György P. Gehér +3

Leakage from the computational subspace is a damaging source of noise that degrades the performance of most qubit types. Unlike other types of noise, leakage cannot be overcome by…

quant-ph2023★ 3 cited

Accurate and Honest Approximation of Correlated Qubit Noise

F. Setiawan, Alexander V. Gramolin, Elisha S. Matekole +2

Accurate modeling of noise in realistic quantum processors is critical for constructing fault-tolerant quantum computers. While a full simulation of actual noisy quantum circuits p…

quant-ph2022★ 11 cited

Experimental limit on non-linear state-dependent terms in quantum theory

Mark Polkovnikov, Alexander V. Gramolin, David E. Kaplan +2

We report the results of an experiment that searches for causal non-linear state-dependent terms in quantum field theory. Our approach correlates a binary macroscopic classical vol…

hep-ph2022★ 18 cited

Intensity interferometry for ultralight bosonic dark matter detection

Hector Masia-Roig, Nataniel L. Figueroa, Ariday Bordon +12

Ultralight bosonic dark matter (UBDM) can be described by a classical wave-like field oscillating near the Compton frequency of the bosons. If a measurement scheme for the direct d…

hep-ph2021★ 37 cited

Spectral signatures of axionlike dark matter

Alexander V. Gramolin, Arne Wickenbrock, Deniz Aybas +6

We derive spectral line shapes of the expected signal for a haloscope experiment searching for axionlike dark matter. The knowledge of these line shapes is needed to optimize an ex…