26 citations · 48 across the 12 of their papers we have counts for
8 papers · 1 filter
When AI meets quantum information: A comprehensive review
Min Chen, Yu Gan, Xin Jin +15
Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum syste…
Exponentially Fast Solution State Preparation for the Heat Equation and its use for Option Pricing
Gumaro Rendon, Stepan Smid, Sarvagya Upadhyay
In this work, we present the methods necessary to price an important set of derivatives on a quantum device while offering an advantage over existing classical methods. The methods…
On the importance of hyperparameters in initializing parameterized quantum circuits
Ankit Kulshrestha, Sarvagya Upadhyay
There has been intensive research on increasing the utility and performance of Parameterized Quantum Circuits (PQCs) in the past couple of years. Owing to this research, there are…
A hybrid quantum-classical algorithm for Bayes-optimal quantum state discrimination using the source code
Ankith Mohan, Jamie Sikora, Sarvagya Upadhyay
Quantum state discrimination is a fundamental primitive in quantum information processing, underpinning tasks in quantum communication, sensing, and learning. We consider the gener…
Compressed Quadratization of Higher Order Binary Optimization Problems
Avradip Mandal, Arnab Roy, Sarvagya Upadhyay +1
Recent hardware advances in quantum and quantum-inspired annealers promise substantial speedup for solving NP-hard combinatorial optimization problems compared to general-purpose c…
QMA variants with polynomially many provers
Sevag Gharibian, Jamie Sikora, Sarvagya Upadhyay
We study three variants of multi-prover quantum Merlin-Arthur proof systems. We first show that the class of problems that can be efficiently verified using polynomially many quant…