294 citations
- European Organization for Nuclear ResearchCH5 papers
- IBM (United States)US5 papers
- University of OxfordGB4 papers
- University of RegensburgDE4 papers
- Argonne National LaboratoryUS3 papers
- Brookhaven National LaboratoryUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Columbia UniversityUS3 papers
- Deutsches Elektronen-Synchrotron DESYDE3 papers
- Excellence Cluster UniverseDE3 papers
- Fermi National Accelerator LaboratoryUS3 papers
- IBM Research - ZurichCH3 papers
24 papers
Enhanced feature encoding and classification on distributed quantum hardware
Roberto Moretti, Andrea Giachero, Voica Radescu +1
The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. In this study, we propo…
Benchmarking the performance of quantum computing software
Paul D. Nation, Abdullah Ash Saki, Sebastian Brandhofer +4
We present Benchpress, a benchmarking suite for evaluating the performance and range of functionality of multiple quantum computing software development kits. This suite consists o…
Quantum Picturalism: Learning Quantum Theory in High School
Selma Dündar-Coecke, Lia Yeh, Caterina Puca +6
Quantum theory is often regarded as challenging to learn and teach, with advanced mathematical prerequisites ranging from complex numbers and probability theory to matrix multiplic…
Encoding a magic state with beyond break-even fidelity
Riddhi S. Gupta, Neereja Sundaresan, Thomas Alexander +10
To run large-scale algorithms on a quantum computer, error-correcting codes must be able to perform a fundamental set of operations, called logic gates, while isolating the encoded…
A biological sequence comparison algorithm using quantum computers
Büsra Kösoglu-Kind, Robert Loredo, Michele Grossi +3
Genetic information is encoded in a linear sequence of nucleotides, represented by letters ranging from thousands to billions. Mutations refer to changes in the DNA or RNA nucleoti…
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic +26
The need to repeatedly shuttle around synaptic weight values from memory to processing units has been a key source of energy inefficiency associated with hardware implementation of…