Search Results
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning
In this work, we aim at augmenting the decisions output by quantum models with "error bars" that provide finite-sample coverage guarantees.
Towards optimization under uncertainty for fundamental models in energy markets using quantum computers
We present a method to formulate the unit commitment problem in energy production as quadratic unconstrained binary optimization (QUBO) problem, which can be solved by classical algorithms and quantum computers.
Quantum Physics
Robust quantum dots charge autotuning using neural network uncertainty
This study presents a machine-learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant challenges in scaling up quantum dot technologies.
Local quantum Fisher information and local quantum uncertainty in two qubit Heisenberg XYZ chain with Dzyaloshinskii Moriya interactions
In this work we will study the Local quantum Fisher information and the local quantum uncertainty in two-qubit Heisenberg XYZ spin chain model with Dzyaloshinskii Moriya (DM) interaction in z direction.
Quantum Physics
Optimal Protocols in Quantum Annealing and QAOA Problems
Quantum Annealing (QA) and the Quantum Approximate Optimization Algorithm (QAOA) are two special cases of the following control problem: apply a combination of two Hamiltonians to minimize the energy of a quantum state.
Quantum Physics
Binary Quantum Control Optimization with Uncertain Hamiltonians
Optimizing the controls of quantum systems plays a crucial role in advancing quantum technologies.
Quantum Physics Optimization and Control
Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines
Our results indicate significant pulse speedups ranging from 1. 5x-3x in typical benchmarks, with only a small fraction of the compilation latency of
Quantum Physics Systems and Control Systems and Control
High-precision measurement of the W boson mass with the CMS experiment at the LHC
A global fit to electroweak data, used to predict the W boson mass in the standard model, yields an uncertainty of 6 MeV.
High Energy Physics - Experiment
Uncertainty-aware molecular dynamics from Bayesian active learning for Phase Transformations and Thermal Transport in SiC
To circumvent the high computational cost of the sparse Gaussian process uncertainty calculation, we formulate a high-performance approximate mapping of the uncertainty and demonstrate a speedup of several orders of magnitude.
Computational Physics
Measurement of the mass dependence of the transverse momentum of lepton pairs in Drell-Yan production in proton-proton collisions at $\sqrt{s}$ = 13 TeV
The double differential cross sections of the Drell-Yan lepton pair ($\ell^+\ell^-$, dielectron or dimuon) production are measured as functions of the invariant mass $m_{\ell\ell}$, transverse momentum $p_\mathrm{T}(\ell\ell)$, and $\phi^*_\eta$.
High Energy Physics - Experiment
