2021
DOI: 10.1007/978-3-030-81652-0_13
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Low-Gate Quantum Golden Collision Finding

Abstract: The golden collision problem asks us to nd a single, special collision among the outputs of a pseudorandom function. This generalizes meet-in-the-middle problems, and is thus applicable in many contexts, such as cryptanalysis of the NIST post-quantum candidate SIKE.The main quantum algorithms for this problem are memory-intensive, and the costs of quantum memory may be very high. The quantum circuit model implies a linear cost for random access, which annihilates the exponential advantage of the previous quant… Show more

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Cited by 11 publications
(10 citation statements)
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References 31 publications
(75 reference statements)
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“…It has already been remarked that Kuperberg algorithm doesn't appear to work when the oracle is only used to evaluate the action for a small fraction of the group elements [14], and thus wouldn't apply to this variant of OSIDH. The next best quantum against OSIDH would be, again, a meet-in-the-middle strategy, possibly applying some Grover-style accelerations [29], which has exponential complexity, putting OSIDH in a much better place than CSIDH regarding quantum security.…”
Section: Osidh and Cryptographic Group Actionsmentioning
confidence: 99%
“…It has already been remarked that Kuperberg algorithm doesn't appear to work when the oracle is only used to evaluate the action for a small fraction of the group elements [14], and thus wouldn't apply to this variant of OSIDH. The next best quantum against OSIDH would be, again, a meet-in-the-middle strategy, possibly applying some Grover-style accelerations [29], which has exponential complexity, putting OSIDH in a much better place than CSIDH regarding quantum security.…”
Section: Osidh and Cryptographic Group Actionsmentioning
confidence: 99%
“…Another interesting question is whether one can get rid of quantum random access, and use only plain quantum circuits. In this setting, the best algorithm for Single-solution 2-XOR runs in time O 2 3n/7 using O 2 n/7 qubits [20]. We can propose an improved complexity for 4-XOR with the following: we use Schroeppel and Shamir's merging tree.…”
Section: Theorem 3 (New Trees For Single-solution K-xor)mentioning
confidence: 99%
“…For m = n, the complexity rises from O 2 m/3 to O 2 2m/5 [9]. For m = 2n, the complexity rises to O 2 3m/7 [17]. These algorithms can also be adapted for multiple collision finding, where they will outperform the classical ones for some parameter ranges (but not all).…”
Section: Quantum Algorithmsmentioning
confidence: 99%