103 citations · 229 across the 4 of their papers we have counts for
7 papers
Incorporating Heightened Scrutiny into a Large HEP Software Project
Philippe Canal, Chris Green, Kyle Knoepfel +5
In 2023, DUNE began re-evaluating the requirements of its data-processing framework, which led to commissioning a new design that would better fit neutrino physics than the existin…
Efficient and Accurate Automatic Python Bindings with cppyy & Cling
Baidyanath Kundu, Vassil Vassilev, Wim Lavrijsen
The simplicity of Python and the power of C++ force stark choices on a scientific software stack. There have been multiple developments to mitigate language boundaries by implement…
Accelerating Noisy VQE Optimization with Gaussian Processes
Juliane Mueller, Wim Lavrijsen, Costin Iancu +1
Hybrid variational quantum algorithms, which combine a classical optimizer with evaluations on a quantum chip, are the most promising candidates to show quantum advantage on curren…
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach
Ethan Smith, Marc G. Davis, Jeffrey Larson +3
While showing great promise, circuit synthesis techniques that combine numerical optimization with search over circuit structures face scalability challenges due to a large number…
Hardware-Efficient Microwave-Activated Tunable Coupling Between Superconducting Qubits
Bradley K. Mitchell, Ravi K. Naik, Alexis Morvan +7
Generating high-fidelity, tunable entanglement between qubits is crucial for realizing gate-based quantum computation. In superconducting circuits, tunable interactions are often i…
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
Wim Lavrijsen, Ana Tudor, Juliane Müller +2
We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) devices. Optimizers have a range of applications in quantum computing, including th…
A pattern recognition algorithm for quantum annealers
Frederic Bapst, Wahid Bhimji, Paolo Calafiura +3
The reconstruction of charged particles will be a key computing challenge for the high-luminosity Large Hadron Collider (HL-LHC) where increased data rates lead to large increases…