4 citations · 8 across the 6 of their papers we have counts for
6 papers · 1 filter
Benchmarking adaptive variational quantum eigensolvers
Daniel Claudino, Jerimiah Wright, Alexander J. McCaskey +1
By design, the variational quantum eigensolver (VQE) strives to recover the lowest-energy eigenvalue of a given Hamiltonian by preparing quantum states guided by the variational pr…
Really Embedding Domain-Specific Languages into C++
Hal Finkel, Alexander McCaskey, Tobi Popoola +2
Domain-specific languages (DSLs) are both pervasive and powerful, but remain difficult to integrate into large projects. As a result, while DSLs can bring distinct advantages in pe…
Extending C++ for Heterogeneous Quantum-Classical Computing
Thien Nguyen, Anthony Santana, Tyler Kharazi +3
We present qcor - a language extension to C++ and compiler implementation that enables heterogeneous quantum-classical programming, compilation, and execution in a single-source co…
Extending XACC for Quantum Optimal Control
Thien Nguyen, Anthony Santana, Alexander McCaskey
Quantum computing vendors are beginning to open up application programming interfaces for direct pulse-level quantum control. With this, programmers can begin to describe quantum k…
Scalable quantum processor noise characterization
Kathleen E. Hamilton, Tyler Kharazi, Titus Morris +3
Measurement fidelity matrices (MFMs) (also called error kernels) are a natural way to characterize state preparation and measurement errors in near-term quantum hardware. They can…
Enabling Pulse-level Programming, Compilation, and Execution in XACC
Thien Nguyen, Alexander McCaskey
Noisy gate-model quantum processing units (QPUs) are currently available from vendors over the cloud, and digital quantum programming approaches exist to run low-depth circuits on…