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Quantum Phase Estimation (2D)

Interactive 2D quantum phase estimation simulator: pick a hidden eigenphase, choose how many counting qubits sample it, and watch the exact inverse-QFT probability distribution concentrate around the true value on a polar histogram you can pan and zoom.

Quantum Computing2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version
2d-physics-ext-topic-77 ↗ Open standalone

Quantum Phase Estimation (QPE) is the algorithm that lets a quantum computer read out the eigenphase φ hidden inside a unitary operator's eigenvalue e^(2πiφ) — the core subroutine behind Shor's factoring algorithm and quantum chemistry eigensolvers. This 2D simulator computes the exact closed-form probability distribution that the inverse Quantum Fourier Transform produces over the counting register's 2^n possible outcomes, rendered as a flat polar histogram you can pan and zoom. Move the true-phase slider or jump to a clean fraction, change how many counting qubits sample the register, and watch the distribution sharpen around the correct answer — then hit Measure to sample one real Born-rule outcome, exactly as a physical quantum processor's readout would collapse to a single integer.

⚙ Under the hood

A 2D companion to the quantum phase estimation simulator: pick a hidden eigenphase and a counting-register size, then watch the exact inverse-QFT probability distribution concentrate around the true value on a pannable, zoomable polar histogram.

quantum computingphase estimationquantum fourier transformqubitsalgorithms

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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