609 citations
- University of OxfordGB28 papers
- University College LondonGB13 papers
- London Centre for NanotechnologyGB11 papers
- University of CambridgeGB9 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR8 papers
- Laboratoire d'Électronique des Technologies de l'InformationFR8 papers
- UNSW SydneyAU8 papers
- CEA GrenobleFR6 papers
- The University of SydneyAU5 papers
- Université Grenoble AlpesFR5 papers
- Centre for Quantum Computation and Communication TechnologyAU4 papers
- Hitachi (United Kingdom)GB4 papers
57 papers
Erasure conversion for singlet-triplet spin qubits enables high-performance shuttling-based quantum error correction
Adam Siegel, Simon Benjamin
Fast and high fidelity shuttling of spin qubits has been demonstrated in semiconductor quantum dot devices. Several architectures based on shuttling have been proposed; it has been…
Space and Time Cost of Continuous Rotations in Surface Codes
Zhu Sun, Balint Koczor
While Clifford operations are relatively easy to implement in fault-tolerant quantum computers,continuous rotation gates remain a significant bottleneck in typical quantum algorith…
Fullqubit alchemist: Quantum algorithm for alchemical free energy calculations
Po-Wei Huang, Gregory Boyd, Gian-Luca R. Anselmetti +11
Accurately computing the free energies of biological processes is a cornerstone of computer-aided drug design, but it is a daunting task. The need to sample vast conformational spa…
Artificial Intelligence for Quantum Computing
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti +25
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extend…
Polarimetry With Spins in the Solid State
Lorenzo Peri, Felix-Ekkehard von Horstig, Sylvain Barraud +3
The ability for optically active media to rotate the polarization of light is the basis of polarimetry, an illustrious technique responsible for many breakthroughs in fields as var…
Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
Zeheng Wang, Fangzhou Wang, Liang Li +5
Modeling complex semiconductor fabrication processes such as Ohmic contact formation remains challenging due to high-dimensional parameter spaces and limited experimental data. Whi…