15 citations · 41 across the 13 of their papers we have counts for
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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…
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…