16 citations · 85 across the 18 of their papers we have counts for
20 papers
Extending the computational reach of Quantum Annealing using Reverse Annealing
Lucas Joshua Menger, Thomas Lippert, Manpreet Singh Jattana
Quantum annealing is a promising heuristic for combinatorial optimization, but on current hardware its performance degrades for larger and more complex problems due to noise and sm…
Improved State Readout in NV Centers using Regression Models and Rabi Driving
Fritz Haltenberger, Manpreet Singh Jattana
Readout of state populations in nitrogen-vacancy centers from fluorescence measurements at room-temperature is routinely achieved via contrast-based calibration. The fidelities ach…
A Critical Assessment of the Sample-Based Quantum Diagonalization for Heisenberg and Hubbard Models
Cedric Gaberle, Manpreet Singh Jattana
Sample-based quantum diagonalization (SQD) constructs subspaces from computational-basis configurations obtained via measurements of a quantum state, with the goal of approximating…
Quantum annealing inspired algorithms for the NISQ Era
Rijul Sachdeva, Vrinda Mehta, Manpreet Singh Jattana +2
We study algorithms inspired by quantum annealing that are suited for the NISQ era. First, we analyze approximate quantum annealing (AQA), which employs a discretized annealing ans…
Slice-Wise Initial State Optimization to Improve Cost and Accuracy of the VQE on Lattice Models
Cedric Gaberle, Manpreet Singh Jattana
We propose an optimization method for the Variational Quantum Eigensolver (VQE) that combines adaptive and physics-inspired ansatz design. Instead of optimizing multiple layers sim…
A Survey on Integrating Quantum Computers into High Performance Computing Systems
Philip Döbler, Manpreet Singh Jattana
Quantum computers use quantum mechanical phenomena to perform conventionally intractable calculations for specific problems. Despite being universal machines, quantum computers are…
Q-AIM: A Unified Portable Workflow for Seamless Integration of Quantum Resources
Zhaobin Zhu, Cedric Gaberle, Sarah M. Neuwirth +2
Quantum computing (QC) holds the potential to solve classically intractable problems. Although there has been significant progress towards the availability of quantum hardware, a s…
Predictive tracking of the NV Center based on external temperature sensors
Manpreet Singh Jattana, Thomas Lippert
We report an experimental design where the position and resonance frequency of the Nitrogen Vacancy (NV) in a diamond are correlated with the room temperature. A simple model train…
Extending the OmpSs-2 Programming Model for Hybrid Quantum-Classical Programming
Philip Döbler, David Álvarez, Lucas J. Menger +3
The OmpSs-2 programming model is used in HPC programs to parallelize code and offload code to accelerators. In this work, we extend the offloading capability to quantum computers.…
Scalable General Error Mitigation for Quantum Circuits
Philip Döbler, Jannik Pflieger, Fengping Jin +4
In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer. In this work, we impr…
Reverse quantum annealing assisted by forward annealing
Manpreet Singh Jattana
Quantum annealers conventionally use forward annealing to generate heuristic solutions. Reverse annealing can potentially generate better solutions but necessitates an appropriate…
Can foreign exchange rates violate Bell inequalities?
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana +5
The analysis of empirical data through model-free inequalities leads to the conclusion that violations of Bell-type inequalities by empirical data cannot have any significance unle…
Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm
Manpreet Singh Jattana
Hybrid algorithms that combine quantum and classical resources have become commonplace in quantum computing. The variational quantum eigensolver (VQE) is routinely used to solve pr…
Einstein-Podolsky-Rosen-Bohm experiments: a discrete data driven approach
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana +5
We take the point of view that building a one-way bridge from experimental data to mathematical models instead of the other way around avoids running into controversies resulting f…
Model-free inequality for data of Einstein-Podolsky-Rosen-Bohm experiments
Hans De Raedt, Mikhail I. Katsnelson, Manpreet S. Jattana +5
We present a new inequality constraining correlations obtained when performing Einstein-Podolsky-Rosen-Bohm experiments. The proof does not rely on mathematical models that are ima…
Hybrid Quantum Classical Simulations
Dennis Willsch, Manpreet Jattana, Madita Willsch +4
We report on two major hybrid applications of quantum computing, namely, the quantum approximate optimisation algorithm (QAOA) and the variational quantum eigensolver (VQE). Both a…
Improved variational quantum eigensolver via quasi-dynamical evolution
Manpreet Singh Jattana, Fengping Jin, Hans De Raedt +1
The variational quantum eigensolver (VQE) is a hybrid quantum-classical algorithm designed for current and near-term quantum devices. Despite its initial success, there is a lack o…
Assessment of the variational quantum eigensolver: application to the Heisenberg model
Manpreet Singh Jattana, Fengping Jin, Hans De Raedt +1
We present and analyze large-scale simulation results of a hybrid quantum-classical variational method to calculate the ground state energy of the anti-ferromagnetic Heisenberg mod…
General error mitigation for quantum circuits
Manpreet Singh Jattana, Fengping Jin, Hans De Raedt +1
A general method to mitigate the effect of errors in quantum circuits is outlined. The method is developed in sight of characteristics that an ideal method should possess and to am…
Discrete-event simulation of an extended Einstein-Podolsky-Rosen-Bohm experiment
Hans De Raedt, Manpreet Singh Jattana, Dennis Willsch +3
We use discrete-event simulation to construct a subquantum model that can reproduce the quantum-theoretical prediction for the statistics of data produced by the Einstein-Podolsky-…