# Dense Quantum Measurement Theory

@article{Gyongyosi2019DenseQM, title={Dense Quantum Measurement Theory}, author={Laszlo Gyongyosi and S{\'a}ndor Imre}, journal={Scientific Reports}, year={2019}, volume={9} }

Quantum measurement is a fundamental cornerstone of experimental quantum computations. The main issues in current quantum measurement strategies are the high number of measurement rounds to determine a global optimal measurement output and the low success probability of finding a global optimal measurement output. Each measurement round requires preparing the quantum system and applying quantum operations and measurements with high-precision control in the physical layer. These issues result in…

## 22 Citations

Quantum circuit optimization using quantum Karnaugh map

- Physics, Computer ScienceScientific reports
- 2020

The quantum circuit optimization technique proposed in this work would provide a significant step forward in the optimization of quantum circuits and quantum algorithms, and has the potential for wider application in quantum computation.

Optimizing High-Efficiency Quantum Memory with Quantum Machine Learning for Near-Term Quantum Devices

- Physics, Computer ScienceScientific Reports
- 2020

The integrated unitary operations of an HRE quantum memory are defined, the learning procedure is proved, and the outcome of the retrieval efficiency and the output SNR (signal-to-noise ratio) are evaluated.

Decoherence dynamics estimation for superconducting gate-model quantum computers

- Physics, Computer ScienceQuantum Inf. Process.
- 2020

This work proposes an algorithm for the optimal placement of the quantum computational blocks of gate-model quantum circuits and studies the effects of capacitance interference on the distribution of the Gaussian noise in the Josephson energy.

Quantum State Optimization and Computational Pathway Evaluation for Gate-Model Quantum Computers

- Computer Science, PhysicsScientific Reports
- 2020

A state determination method that finds a target system state for a quantum computer at a given target objective function value is proved and is convenient for gate-model quantum computations and the near-term quantum devices of the quantum Internet.

Unsupervised Quantum Gate Control for Gate-Model Quantum Computers

- Physics, Computer ScienceScientific Reports
- 2020

A method for the unsupervised control of quantum gates in near-term quantum computers is defined and it is proved that the non-stable quantum gate becomes controllable via a machine learning method if the quantum gates formulate an entangled gate structure.

Circuit Depth Reduction for Gate-Model Quantum Computers

- Computer Science, PhysicsScientific Reports
- 2020

The complexity of the quantum algorithm and the achievable reduction in circuit depth are proved and the method provides a tractable solution to reduce the time complexity and physical layer costs of quantum computers.

Scalable distributed gate-model quantum computers

- Computer Science, PhysicsScientific reports
- 2021

It is proved that the proposed architecture can maximize an objective function of a computational problem in a distributed manner and study the impacts of decoherence on distributed objective function evaluation.

An efficient simulation for quantum secure multiparty computation

- Computer ScienceScientific reports
- 2021

This paper proposes a quantum secure multiparty summation protocol based on (t, n) threshold approach, which can be used in many complex quantum operations and is more cost-effective, realistic, and secure.

Approximation Method for Optimization Problems in Gate-Model Quantum Computers

- Computer Science, PhysicsChaos, Solitons & Fractals: X
- 2021

Objective function estimation for solving optimization problems in gate-model quantum computers

- Computer ScienceScientific Reports
- 2020

The proposed solution significantly reduces the costs of the objective function estimation and provides an optimized estimate of the state of the quantum computer for solving optimization problems.

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