Time-space lower bounds for breaking quantum cryptography
Researchers prove near-optimal time-space lower bounds for breaking quantum cryptography in the random oracle model.
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Researchers prove near-optimal time-space lower bounds for breaking quantum cryptography in the random oracle model.
Simple local quantum processes can match unitary designs yet remain efficiently distinguishable from truly random unitaries.
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Lower bounds show heterogeneous asynchronous optimization cannot match homogeneous rates under standard similarity assumptions; strong interpolation plus local PL condition closes the gap.
Theory paper combines differential privacy with fixed-parameter tractable encoders, improving approximation guarantees for combinatorial optimization and proving new lower bounds.
New optimization theory paper proves near-optimal lower bounds for gradient descent with predetermined stepsizes, confirming silver-schedule optimality.
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