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Classical circuit depth log2(s) for exact solutions to the 2D Hidden Linear Function problem

Determine whether, for exactly solving the two-dimensional Hidden Linear Function (HLF) problem, the minimum classical circuit depth required to implement a Boolean function that depends on all s inputs using two-input, one-output gates equals log2(s), without imposing any constraints on circuit connectivity. This establishes a near-term classical lower bound to compare against shallow quantum circuits that solve the 2D HLF problem.

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Background

Bravyi et al. proved that certain 2D Hidden Linear Function (HLF) problems can be solved exactly by constant-depth quantum circuits, while any classical solution requires logarithmic depth, establishing a quantum-classical separation in the asymptotic regime. However, those bounds become relevant only for very large instances (n ≳ 106 qubits), making them unsuitable for direct comparison with near-term experimental devices.

To enable practical benchmarking against classical resources for the sizes accessible today, the authors propose a conjectured classical depth formula based on two-input, one-output gates that counts the required two-bit gate layers to exactly solve the HLF problem. Validating or refuting this conjecture would provide a concrete, connectivity-agnostic lower bound for classical circuits in the near-term regime and facilitate more direct comparisons with the shallow quantum circuits implemented on current hardware.

References

In the absence of a theoretical lower bound for near-term devices, we conjecture that for a function depending on all s inputs, the minimum classical circuit depth required to implement a Boolean function using two-input, one-output gates is log2(s) for an exact solution to the HLF problem.

Quantum-Classical Separation in Bounded-Resource Tasks Arising from Measurement Contextuality (2512.02284 - Kumar et al., 1 Dec 2025) in Main text, Hidden Linear Function (HLF) section, paragraph following Fig. 4(B)