5 papers · 1 filter
Fermionic Insights into Measurement-Based Quantum Computation: Circle Graph States Are Not Universal Resources
Brent Harrison, Vishnu Iyer, Ojas Parekh +2
Measurement-based quantum computation (MBQC) is a strong contender for realizing quantum computers. A critical question for MBQC is the identification of resource graph states that…
Complexity Classification of Product State Problems for Local Hamiltonians
John Kallaugher, Ojas Parekh, Kevin Thompson +2
Product states, unentangled tensor products of single qubits, are a ubiquitous ansatz in quantum computation, including for state-of-the-art Hamiltonian approximation algorithms. A…
Second order cone relaxations for quantum Max Cut
Felix Huber, Kevin Thompson, Ojas Parekh +1
Quantum Max Cut (QMC), also known as the quantum anti-ferromagnetic Heisenberg model, is a QMA-complete problem relevant to quantum many-body physics and computer science. Semidefi…
How to Design a Quantum Streaming Algorithm Without Knowing Anything About Quantum Computing
John Kallaugher, Ojas Parekh, Nadezhda Voronova
A series of work [GKK+08, Kal22, KPV24] has shown that asymptotic advantages in space complexity are possible for quantum algorithms over their classical counterparts in the stream…
Constrained local Hamiltonians: quantum generalizations of Vertex Cover
Ojas Parekh, Chaithanya Rayudu, Kevin Thompson
Recent successes in producing rigorous approximation algorithms for local Hamiltonian problems such as Quantum Max Cut have exploited connections to unconstrained classical discret…