activity
20182026
collaborators

7 papers

quant-ph2026

Benchmarking Classical and Quantum Optimization Approaches for Rider-Order Assignment

Tharrmashastha SAPV, Surya Prakash Palanivel, Jasjyot Singh Gulati +1

The logistics industry is widely regarded as a promising application domain for emerging optimization paradigms, including quantum computing. The Rider-Order Assignment problem is…

quant-ph2025

Generalized cross-resonance scheme for maximally-entangling two-qutrit gates

Yash Saxena, Tharrmashastha Sapv, Sagnik Chatterjee +1

To utilize higher-dimensional quantum systems, in this Letter, we derive a generalized cross-resonance (GCR) scheme for realizing maximally entangling two-qutrit gates on fixed-fre…

quant-ph2024

Quantum Query-Space Lower Bounds Using Branching Programs

Debajyoti Bera, Tharrmashastha SAPV

Branching programs are quite popular for studying time-space lower bounds. Bera et al. recently introduced the model of generalized quantum branching program aka. GQBP that general…

quant-ph2023

A Generalized Quantum Branching Program

Debajyoti Bera, Tharrmashastha Sapv

Classical branching programs are studied to understand the space complexity of computational problems. Prior to this work, Nakanishi and Ablayev had separately defined two differen…

quant-ph2022

Few Quantum Algorithms on Amplitude Distribution

Debajyoti Bera, Tharrmashastha Sapv

Amplitude filtering is concerned with identifying basis-states in a superposition whose amplitudes are greater than a specified threshold; probability filtering is defined analogou…

quant-ph2021

HighDist Framework: Algorithms and Applications

Debajyoti Bera, Tharrmashastha Sapv

We introduce the problem of determining if the mode of the output distribution of a quantum circuit (given as a black-box) is larger than a given threshold, named HighDist, and a s…

quant-ph2018

Efficient Quantum Algorithms related to Autocorrelation Spectrum

Debajyoti Bera, Subhamoy Maitra, SAPV Tharrmashastha

In this paper, we propose efficient probabilistic algorithms for several problems regarding the autocorrelation spectrum. First, we present a quantum algorithm that samples from th…