pygridsynth provides O(log(1/ε)) ancilla-free Clifford+T synthesis with a new partial-decomposition technique for n≥3 reducing T-count constants to (21/8·4^n - 9/2·2^n + 9)log₂(1/ε) + o(log(1/ε)) and a mixed-synthesis approach empirically lowering error to ε²/(2n).
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Direct and efficient approximation of arbitrary one-qubit unitaries is achieved via repeat-until-success circuits with one ancillary qubit, using lattice-based synthesis and related mathematical tools.
Magic state cultivation prepares high-fidelity T states with an order of magnitude fewer qubit-rounds than prior distillation methods by gradually growing them within a surface code under depolarizing noise.
Search-based approximate diagonalization followed by analytical inversion yields high-precision multi-qubit Clifford+T circuits with 95% fewer non-Clifford gates on real-algorithm benchmarks.
citing papers explorer
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pygridsynth: A fast numerical tool for ancilla-free Clifford+T synthesis
pygridsynth provides O(log(1/ε)) ancilla-free Clifford+T synthesis with a new partial-decomposition technique for n≥3 reducing T-count constants to (21/8·4^n - 9/2·2^n + 9)log₂(1/ε) + o(log(1/ε)) and a mixed-synthesis approach empirically lowering error to ε²/(2n).
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Direct U(2) approximation via repeat-until-success circuits
Direct and efficient approximation of arbitrary one-qubit unitaries is achieved via repeat-until-success circuits with one ancillary qubit, using lattice-based synthesis and related mathematical tools.
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Magic state cultivation: growing T states as cheap as CNOT gates
Magic state cultivation prepares high-fidelity T states with an order of magnitude fewer qubit-rounds than prior distillation methods by gradually growing them within a surface code under depolarizing noise.
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High-Precision Multi-Qubit Clifford+T Synthesis by Unitary Diagonalization
Search-based approximate diagonalization followed by analytical inversion yields high-precision multi-qubit Clifford+T circuits with 95% fewer non-Clifford gates on real-algorithm benchmarks.