most citedA perspective on the current state-of-the-art of quantum computing for drug discovery applications

190 citations · 274 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 1 cited

Belief propagation as a partial decoder

Laura Caune, Brendan Reid, Joan Camps +1

One of the fundamental challenges in enabling fault-tolerant quantum computation is realising fast enough quantum decoders. We present a new two-stage decoder that accelerates the…

quant-ph2023★ 46 cited

Block-encoding structured matrices for data input in quantum computing

Christoph Sünderhauf, Earl Campbell, Joan Camps

The cost of data input can dominate the run-time of quantum algorithms. Here, we consider data input of arithmetically structured matrices via block encoding circuits, the input mo…

quant-ph2022★ 33 cited

Quantum Computation for Periodic Solids in Second Quantization

Aleksei V. Ivanov, Christoph Sünderhauf, Nicole Holzmann +4

In this work, we present a quantum algorithm for ground-state energy calculations of periodic solids on error-corrected quantum computers. The algorithm is based on the sparse qubi…

physics.chem-ph2022★ 190 cited

A perspective on the current state-of-the-art of quantum computing for drug discovery applications

Nick S. Blunt, Joan Camps, Ophelia Crawford +9

Computational chemistry is an essential tool in the pharmaceutical industry. Quantum computing is a fast evolving technology that promises to completely shift the computational cap…

physics.chem-ph2022★ 4 cited

Quantum Computing in Pharma: A Multilayer Embedding Approach for Near Future Applications

Robert Izsak, Christoph Riplinger, Nick S. Blunt +6

Quantum computers are special purpose machines that are expected to be particularly useful in simulating strongly correlated chemical systems. The quantum computer excels at treati…