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<p>In this work, we propose a continuous-variable quantum algorithm to compute the projection coefficients of a holomorphic function in the Segal–Bargmann space by leveraging its isometric correspondence with single-mode quantum states. Using CV quantum circuits, we prepare the state <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\langle {f}\rangle \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">⟨</mo> <mi>f</mi> <mo stretchy="false">⟩</mo> </mrow> </math></EquationSource> </InlineEquation> associated with <i>f</i>(<i>z</i>) and extract the coefficients <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(c_n = \langle {n}|{f}\rangle \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>c</mi> <mi>n</mi> </msub> <mo>=</mo> <mrow> <mo stretchy="false">⟨</mo> <mi>n</mi> <mo stretchy="false">|</mo> <mi>f</mi> <mo stretchy="false">⟩</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> via photon-number-resolved detection, enhanced by interferometric phase referencing to recover full complex amplitudes. We detail the construction of the state-preparation oracle for various functional classes and analyze the protocol’s robustness under realistic noise models, including detector inefficiency and state preparation errors. This enables direct quantum estimation and visualization of the coefficient sequence—offering a hardware-native protocol for characterizing non-Gaussian states and analyzing functions defined by quantum oracles, complementary to classical numerical integration.</p>

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Projection Coefficients Estimation in Continuous-Variable Quantum Circuits

  • 期刊论文

  • 发表日期：

    2026年5月29日

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  • M. W. AlMasri

摘要

In this work, we propose a continuous-variable quantum algorithm to compute the projection coefficients of a holomorphic function in the Segal–Bargmann space by leveraging its isometric correspondence with single-mode quantum states. Using CV quantum circuits, we prepare the state \(\langle {f}\rangle \) ⟨ f ⟩ associated with f(z) and extract the coefficients \(c_n = \langle {n}|{f}\rangle \) c n = ⟨ n | f ⟩ via photon-number-resolved detection, enhanced by interferometric phase referencing to recover full complex amplitudes. We detail the construction of the state-preparation oracle for various functional classes and analyze the protocol’s robustness under realistic noise models, including detector inefficiency and state preparation errors. This enables direct quantum estimation and visualization of the coefficient sequence—offering a hardware-native protocol for characterizing non-Gaussian states and analyzing functions defined by quantum oracles, complementary to classical numerical integration.