Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 30 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 18 tok/s Pro
GPT-5 High 12 tok/s Pro
GPT-4o 91 tok/s Pro
Kimi K2 184 tok/s Pro
GPT OSS 120B 462 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Bounds on the quantum satisfiability threshold (0907.1297v3)

Published 7 Jul 2009 in quant-ph, cond-mat.stat-mech, and cs.CC

Abstract: Quantum k-SAT is the problem of deciding whether there is a n-qubit state which is perpendicular to a set of vectors, each of which lies in the Hilbert space of k qubits. Equivalently, the problem is to decide whether a particular type of local Hamiltonian has a ground state with zero energy. We consider random quantum k-SAT formulas with n variables and m = \alpha n clauses, and ask at what value of \alpha these formulas cease to be satisfiable. We show that the threshold for random quantum 3-SAT is at most 3.594. For comparison, convincing arguments from statistical physics suggest that the classical 3-SAT threshold is \alpha \approx 4.267. For larger k, we show that the quantum threshold is a constant factor smaller than the classical one. Our bounds work by determining the generic rank of the satisfying subspace for certain gadgets, and then using the technique of differential equations to analyze various algorithms that partition the hypergraph into a collection of these gadgets. Our use of differential equation to establish upper bounds on a satisfiability threshold appears to be novel, and our techniques may apply to various classical problems as well.

Citations (24)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.