activity
20172024
most citedExperimental demonstration of selective quantum process tomography on an NMR quantum information processor

36 citations · 86 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2024

Experimental decoherence mitigation using a weak measurement-based scheme and the duality quantum algorithm

Gayatri Singh, Akshay Gaikwad, Arvind +1

We experimentally demonstrate a weak measurement and measurement reversal-based scheme to ameliorate the effects of decoherence due to amplitude damping, on an NMR quantum processo…

quant-ph2024

Novel techniques for efficient quantum state tomography and quantum process tomography and their experimental implementation

Akshay Gaikwad

This thesis actively focuses on designing, analyzing, and experimentally implementing various QST and QPT protocols using an NMR ensemble quantum processor and superconducting qubi…

quant-ph2023★ 5 cited

Neural network assisted quantum state and process tomography using limited data sets

Akshay Gaikwad, Omkar Bihani, Arvind +1

In this study we employ a feed-forward artificial neural network (FFNN) architecture to perform tomography of quantum states and processes obtained from noisy experimental data. To…

quant-ph2023★ 6 cited

Direct tomography of quantum states and processes via weak measurements of Pauli spin operators on an NMR quantum processor

Akshay Gaikwad, Gayatri Singh, Kavita Dorai +1

In this paper, we present an efficient weak measurement-based scheme for direct quantum state tomography (DQST) and direct quantum process tomography (DQPT), and experimentally imp…

quant-ph2022★ 14 cited

Simulating open quantum dynamics on an NMR quantum processor using the Sz.-Nagy dilation algorithm

Akshay Gaikwad, Arvind, Kavita Dorai

We experimentally implement the Sz.-Nagy dilation algorithm to simulate open quantum dynamics on an nuclear magnetic resonance (NMR) quantum processor. The Sz.-Nagy algorithm enabl…

quant-ph2021★ 4 cited

Efficient experimental characterization of quantum processes via compressed sensing on an NMR quantum processor

Akshay Gaikwad, Arvind, Kavita Dorai

We employ the compressed sensing (CS) algorithm and a heavily reduced data set to experimentally perform true quantum process tomography (QPT) on an NMR quantum processor. We obtai…

quant-ph2021★ 20 cited

Implementing efficient selective quantum process tomography of superconducting quantum gates on the IBM quantum processor

Akshay Gaikwad, Krishna Shende, Arvind +1

The experimental implementation of selective quantum process tomography (SQPT) involves computing individual elements of the process matrix with the help of a special set of states…

quant-ph2020★ 1 cited

True experimental reconstruction of quantum states and processes via convex optimization

Akshay Gaikwad, Arvind, Kavita Dorai

We use a constrained convex optimization (CCO) method to experimentally characterize arbitrary quantum states and unknown quantum processes on a two-qubit NMR quantum information p…

quant-ph2017★ 36 cited

Experimental demonstration of selective quantum process tomography on an NMR quantum information processor

Akshay Gaikwad, Diksha Rehal, Amandeep Singh +2

We present the first NMR implementation of a scheme for selective and efficient quantum process tomography without ancilla. We generalize this scheme such that it can be implemente…