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Journal of Applied Physics

Noise Limitations in Quantum Counters

J.S.S. Whiting

Published Jan 1, 1967• 4 citations
Publisher
DOI
10.1063/1.1708998

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Quantum counters are very crucial elements in the design of quantum sequential circuits and quantum control systems. This article details the design, implementation, and noise-aware benchmarking of large-scale quantum counter designs based on the Qiskit framework and IBM Quantum computing platforms. The quantum counter architectures introduced are 2-bit, 3-bit, 4-bit, and 5-bit quantum counters which are developed using reversible quantum gates like Pauli-X, Controlled-NOT (CNOT), Toffoli, and Multi-Controlled X (MCX) gates. Firstly, all the counter architectures were confirmed to be working well in the ideal simulation scenario using the Qiskit Aer simulator where they achieved perfect computational fidelity and produced correct counting sequences. For the assessment of practical performance in the Noisy Intermediate-Scale Quantum (NISQ) environment, several quantum noise models, including bit-flip noise, depolarizing noise, amplitude damping noise, and phase damping noise, were introduced within the experimental framework. The experimental findings indicate that as circuits become more complex, the precision of computations decreases in the presence of real-world noise conditions. Under bit-flip noise, the correct counts noted changed from 846 for the 2-bit counter to 620 for the 5-bit counter. Likewise, depolarizing noise led to a slight decline, whereas amplitude damping noise resulted in the most drastic decrease in performance, dropping the correct counts from 253 in the 2-bit design to merely 33 in the 5-bit design. On the contrary, a phase damping noise showed almost no impact and retained 1024 correct counts across all architectures. The scalability analysis demonstrates that quantum counter architectures based on reversible gates can proficiently work over quite extensive qubit configurations while maintaining functional correctness. Nevertheless, the increase in circuit depth and gate complexity mainly results in susceptibility to decoherence and noise accumulation. This work offers a unified framework for the development and evaluation of large-scale quantum sequential circuits and sheds light on building quantum systems that can be used fault-tolerantly in future quantum computing implementations.

International Journal of Engineering Research and Science & Technology•Jun 20, 2026•0 citations
Noise arising from strong laser pumping and 77-K internal phonon noise upconversion in the proposed supposedly noiseless 10-μ quantum counters using rare-earth-doped crystals is described. The discussions are specialized to the crystals states of the Eu3+ ion. It is shown that at the pump power (∼50 kW cm−2) necessary for background-limited 10-μ quantum counter upconversion detection at 77 K, all the three major processes of noise generation discussed are insignificant compared to the background thermal (300 K) radiation considered previously in arriving at realistic theoretical quantum efficiencies of the proposed 10-μ quantum counters.
The information capacity of various communications systems is considered. Quantum effects are taken fully into account. The entropy of an electromagnetic wave having the quantum statistical properties of white noise in a single transmission mode is found, and from it the information efficiency of various possible systems may be derived. The receiving systems considered include amplifiers, heterodyne and homodyne converters and quantum counters. In the limit of high signal or noise power (compared to hνB, where h is Planck's constant and ν and B are, respectively, the center frequency and bandwidth of the channel) the information efficiency of an amplifier can approach unity. In the limit of low powers the amplifier becomes inefficient, while the efficiency of the quantum counter can approach unity. The amount of information that can be incorporated in a wave drops off rather rapidly when the power drops below hνB.
Quantum counters are very crucial elements in the design of quantum sequential circuits and quantum control systems. This article details the design, implementation, and noise-aware benchmarking of large-scale quantum counter designs based on the Qiskit framework and IBM Quantum computing platforms. The quantum counter architectures introduced are 2-bit, 3-bit, 4-bit, and 5-bit quantum counters which are developed using reversible quantum gates like Pauli-X, Controlled-NOT (CNOT), Toffoli, and Multi-Controlled X (MCX) gates. Firstly, all the counter architectures were confirmed to be working well in the ideal simulation scenario using the Qiskit Aer simulator where they achieved perfect computational fidelity and produced correct counting sequences. For the assessment of practical performance in the Noisy Intermediate-Scale Quantum (NISQ) environment, several quantum noise models, including bit-flip noise, depolarizing noise, amplitude damping noise, and phase damping noise, were introduced within the experimental framework. The experimental findings indicate that as circuits become more complex, the precision of computations decreases in the presence of real-world noise conditions. Under bit-flip noise, the correct counts noted changed from 846 for the 2-bit counter to 620 for the 5-bit counter. Likewise, depolarizing noise led to a slight decline, whereas amplitude damping noise resulted in the most drastic decrease in performance, dropping the correct counts from 253 in the 2-bit design to merely 33 in the 5-bit design. On the contrary, a phase damping noise showed almost no impact and retained 1024 correct counts across all architectures. The scalability analysis demonstrates that quantum counter architectures based on reversible gates can proficiently work over quite extensive qubit configurations while maintaining functional correctness. Nevertheless, the increase in circuit depth and gate complexity mainly results in susceptibility to decoherence and noise accumulation. This work offers a unified framework for the development and evaluation of large-scale quantum sequential circuits and sheds light on building quantum systems that can be used fault-tolerantly in future quantum computing implementations.