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SVP

Shortest Vector Problem

Find a shortest nonzero lattice vector.

Heuristic · quantum · minimal sieve-list space

Sequential quantum sieving; space ≤ 2^{(½log₂(4/3)+o(1))n}

5 results · 2 papers
QuantumHeuristicArbitrary input; spherical-list heuristic2c n + o(n)
#PUBLICATION / AUTHORSDATETIME BOUNDSPACE BOUNDEVIDENCE
1Search problems in cryptography: from fingerprinting to lattice sievingThijs LaarhovenTechnische Universiteit Eindhoven 2016SourceBibTeX / detailsquantum heuristic bounded memory Nguyen–Vidick16 Feb 2016(13/9)n/2+o(n)(4/3)n/2+o(n)PublishedSource checked
2Search problems in cryptography: from fingerprinting to lattice sievingThijs LaarhovenTechnische Universiteit Eindhoven 2016SourceBibTeX / detailsquantum heuristic bounded memory Nguyen–Vidick16 Feb 201620.2671 n + o(n)(4/3)n/2+o(n)PublishedSource checked
3Search problems in cryptography: from fingerprinting to lattice sievingThijs LaarhovenTechnische Universiteit Eindhoven 2016SourceBibTeX / detailsquantum heuristic bounded memory Nguyen–Vidick16 Feb 201620.286 n + o(n)(4/3)n/2+o(n)PublishedSource checked
4Search problems in cryptography: from fingerprinting to lattice sievingThijs LaarhovenTechnische Universiteit Eindhoven 2016SourceBibTeX / detailsquantum heuristic bounded memory GaussSieve16 Feb 201620.297454 n + o(n)(4/3)n/2+o(n)PublishedSource checked
5Solving the Shortest Vector Problem in Lattices Faster Using Quantum SearchThijs Laarhoven · Michele Mosca · Joop van de PolPost-Quantum Cryptography 2013SourceBibTeX / detailsquantum heuristic Nguyen–Vidick bounded memory25 Jan 201320.312 n + o(n)20.208 n + o(n)PublishedSource checked
Comparison definition & assumptions
Regime
Sequential quantum sieving; space ≤ 2^{(½log₂(4/3)+o(1))n}
Computation
Quantum
Rigor
Heuristic
Instances
Arbitrary input; spherical-list heuristic
Cost scale
2^{c n + o(n)}
Parameter
n
Description
Quantum analogues retaining the baseline pair-sieve list-space exponent.
Comparison rules
Compare sequential time with total classical-list storage at most the baseline exponent, allowing displayed rounding 0.2075/0.208. Batch Nguyen–Vidick variants and GaussSieve variants must be identified: sequential hash-table processing is not automatically valid for GaussSieve. Require coherent access where used and record ordinary-qubit requirements separately.
Tags
SVP, quantum, heuristic, bounded memory, Nguyen–Vidick, GaussSieve