Methodology for replacing indirect measurements with direct measurements

In quantum computing, the indirect measurement of unitary operators such as the Hadamard test plays a significant role in many algorithms. However, in certain cases, the indirect measurement can be reduced to the direct measurement, where a quantum state is destructively measured. Here we investigate in what cases such a replacement is possible and develop a general methodology for trading an indirect measurement with sequential direct measurements. The results can be applied to construct quantum circuits to evaluate the analytical gradient, metric tensor, Hessian, and even higher order derivatives of a parametrized quantum state. Also, we propose a new method to measure the out-of-time-order correlator based on the presented protocol. Our protocols can reduce the depth of the quantum circuit significantly by making the controlled operation unnecessary and hence are suitable for quantum-classical hybrid algorithms on near-term quantum computers.

[1]  Göran Wendin,et al.  Arbitrary accuracy iterative quantum phase estimation algorithm using a single ancillary qubit: A two-qubit benchmark , 2006, quant-ph/0610214.

[2]  P. Coveney,et al.  Scalable Quantum Simulation of Molecular Energies , 2015, 1512.06860.

[3]  W. Marsden I and J , 2012 .

[4]  Jun Li,et al.  Hybrid Quantum-Classical Approach to Quantum Optimal Control. , 2016, Physical review letters.

[5]  P. Alam ‘E’ , 2021, Composites Engineering: An A–Z Guide.

[6]  Paweł Horodecki,et al.  Direct estimations of linear and nonlinear functionals of a quantum state. , 2002, Physical review letters.

[7]  Sriram Ganeshan,et al.  Lyapunov Exponent and Out-of-Time-Ordered Correlator's Growth Rate in a Chaotic System. , 2016, Physical review letters.

[8]  Alán Aspuru-Guzik,et al.  A variational eigenvalue solver on a photonic quantum processor , 2013, Nature Communications.

[9]  E. Knill,et al.  Optimal quantum measurements of expectation values of observables , 2006, quant-ph/0607019.

[10]  B. Swingle,et al.  Slow scrambling in disordered quantum systems , 2016, 1608.03280.

[11]  Igor L. Markov,et al.  On the CNOT-cost of TOFFOLI gates , 2008, Quantum Inf. Comput..

[12]  Patrick J. Coles,et al.  Learning the quantum algorithm for state overlap , 2018, New Journal of Physics.

[13]  S. Brierley,et al.  Variational Quantum Computation of Excited States , 2018, Quantum.

[14]  Keisuke Fujii,et al.  Quantum circuit learning , 2018, Physical Review A.

[15]  P. Hayden,et al.  Measuring the scrambling of quantum information , 2016, 1602.06271.

[16]  I. Chuang,et al.  Quantum Computation and Quantum Information: Introduction to the Tenth Anniversary Edition , 2010 .

[17]  John Preskill,et al.  Quantum Computing in the NISQ era and beyond , 2018, Quantum.

[18]  Yichen Huang,et al.  Out‐of‐time‐ordered correlators in many‐body localized systems , 2016, 1608.01091.

[19]  R. Cleve,et al.  Quantum fingerprinting. , 2001, Physical review letters.

[20]  Ericka Stricklin-Parker,et al.  Ann , 2005 .

[21]  W. Hager,et al.  and s , 2019, Shallow Water Hydraulics.

[22]  S. Brierley,et al.  Accelerated Variational Quantum Eigensolver. , 2018, Physical review letters.

[23]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[24]  Daniel A. Roberts,et al.  Chaos and complexity by design , 2016, 1610.04903.

[25]  Isaac L. Chuang,et al.  Quantum Computation and Quantum Information: Frontmatter , 2010 .

[26]  Ying Li,et al.  Efficient Variational Quantum Simulator Incorporating Active Error Minimization , 2016, 1611.09301.

[27]  Hoi-Kwong Lo,et al.  Quantum key distribution with setting-choice-independently correlated light sources , 2018 .

[28]  Nicole Yunger Halpern,et al.  Strengthening weak measurements of qubit out-of-time-order correlators , 2018, Physical Review A.

[29]  Pedro Chamorro-Posada,et al.  swap test and Hong-Ou-Mandel effect are equivalent , 2013, 1303.6814.

[30]  Dexter Kozen,et al.  New , 2020, MFPS.

[31]  Patrick J. Coles,et al.  Entanglement spectroscopy with a depth-two quantum circuit , 2018, Journal of Physics A: Mathematical and Theoretical.

[32]  Xiao Yuan,et al.  Variational quantum algorithms for discovering Hamiltonian spectra , 2018, Physical Review A.

[33]  M. Hastings,et al.  Progress towards practical quantum variational algorithms , 2015, 1507.08969.