32 citations · 64 across the 12 of their papers we have counts for
13 papers
Improving probabilistic error cancellation in the presence of non-stationary noise
Samudra Dasgupta, Travis S. Humble
We investigate the stability of probabilistic error cancellation (PEC) outcomes in the presence of non-stationary noise, which is an obstacle to achieving accurate observable estim…
Adaptive mitigation of time-varying quantum noise
Samudra Dasgupta, Arshag Danageozian, Travis S. Humble
Current quantum computers suffer from non-stationary noise channels with high error rates, which undermines their reliability and reproducibility. We propose a Bayesian inference-b…
Reliable Devices Yield Stable Quantum Computations
Samudra Dasgupta, Travis S. Humble
Stable quantum computation requires noisy results to remain bounded even in the presence of noise fluctuations. Yet non-stationary noise processes lead to drift in the varying char…
Impact of unreliable devices on stability of quantum computations
Samudra Dasgupta, Travis S. Humble
Noisy intermediate-scale quantum (NISQ) devices are valuable platforms for testing the tenets of quantum computing, but these devices are susceptible to errors arising from de-cohe…
Adaptive channel estimation for mitigating circuits executed on noisy quantum devices
Samudra Dasgupta, Travis S. Humble
Conventional computers have evolved to device components that demonstrate failure rates of 1e-17 or less, while current quantum computing devices typically exhibit error rates of 1…
Assessing the Stability of Noisy Quantum Computation
Samudra Dasgupta, Travis S. Humble
Quantum computation has made considerable progress in the last decade with multiple emerging technologies providing proof-of-principle experimental demonstrations of such calculati…
Characterizing the Reproducibility of Noisy Quantum Circuits
Samudra Dasgupta, Travis S. Humble
The ability of a quantum computer to reproduce or replicate the results of a quantum circuit is a key concern for verifying and validating applications of quantum computing. Statis…
Dynamic Asset Allocation with Expected Shortfall via Quantum Annealing
H. Xu, S. Dasgupta, A. Pothen +1
Recent advances in quantum hardware offer new approaches to solve various optimization problems that can be computationally expensive when classical algorithms are employed. We pro…
Stability of noisy quantum computing devices
Samudra Dasgupta, Travis S. Humble
Noisy, intermediate-scale quantum (NISQ) computing devices offer opportunities to test the principles of quantum computing but are prone to errors arising from various sources of n…
Characterizing the Stability of NISQ Devices
Samudra Dasgupta, Travis S. Humble
In this study, we focus on the question of stability of NISQ devices. The parameters that define the device stability profile are motivated by the work of DiVincenzo where the requ…
Characterizing the memory capacity of transmon qubit reservoirs
Samudra Dasgupta, Kathleen E. Hamilton, Arnab Banerjee
Quantum Reservoir Computing (QRC) exploits the dynamics of quantum ensemble systems for machine learning. Numerical experiments show that quantum systems consisting of 5-7 qubits p…
Polarization Discrimination Imaging of objects hidden in turbid media: Detection of weak sinusoids through Stochastic Resonance
Samudra Dasgupta, Jithun Nair, Shauryadipta Sarkar +2
In Polarization Discrimination Imaging, the amplitude of a sinusoid from a rotating analyzer, representing residual polarized light and carrying information on the object, is detec…
Quantum Annealing Algorithm for Expected Shortfall based Dynamic Asset Allocation
Samudra Dasgupta, Arnab Banerjee
The 2008 mortgage crisis is an example of an extreme event. Extreme value theory tries to estimate such tail risks. Modern finance practitioners prefer Expected Shortfall based ris…