activity
20172023
most citedHigh-threshold and low-overhead fault-tolerant quantum memory

439 citations · 960 across the 15 of their papers we have counts for

collaborators

15 papers

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

quant-ph2023★ 106 cited

Efficient Long-Range Entanglement using Dynamic Circuits

Elisa Bäumer, Vinay Tripathi, Derek S. Wang +5

Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency constraints on the generation of intricate entangled states. In principle, these limitat…

quant-ph2023★ 439 cited

High-threshold and low-overhead fault-tolerant quantum memory

Sergey Bravyi, Andrew W. Cross, Jay M. Gambetta +3

Quantum error correction becomes a practical possibility only if the physical error rate is below a threshold value that depends on a particular quantum code, syndrome measurement…

quant-ph2023

Harnessing the Power of Long-Range Entanglement for Clifford Circuit Synthesis

Willers Yang, Patrick Rall

In superconducting architectures, limited connectivity remains a significant challenge for the synthesis and compilation of quantum circuits. We consider models of entanglement-ass…

quant-ph2022★ 48 cited

Thermal State Preparation via Rounding Promises

Patrick Rall, Chunhao Wang, Pawel Wocjan

A promising avenue for the preparation of Gibbs states on a quantum computer is to simulate the physical thermalization process. The Davies generator describes the dynamics of an o…

quant-ph2022★ 27 cited

Amplitude Estimation from Quantum Signal Processing

Patrick Rall, Bryce Fuller

Amplitude estimation algorithms are based on Grover's algorithm: alternating reflections about the input state and the desired outcome. But what if we are given the ability to perf…