An electronic design and evaluation tool for quantum circuit design is presented. It allows easy implementation of quantum algorithms based on the circuit model of quantum computation. The layout of an ideal circuit network can be designed in the logical layer and then automatically get converted into an encoded form closer to the physical layer. The possibility to select and apply the desired quantum error-correcting code enables to study a particular circuit from the aspect of error correction. Various constructions of the same logical network can be designed in order to compare the gate loads of different implementations and encoding or decoding schemas. It is a well structured software tool enabling expansion of other useful functions for realistic studies on quantum computation.
An electronic design and evaluation tool for quantum circuit design is presented. It allows easy implementation of quantum algorithms based on the circuit model of quantum computation. The layout of an ideal circuit network can be designed in the logical layer and then automatically get converted into an encoded form closer to the physical layer. The possibility to select and apply the desired quantum error-correcting code enables to study a particular circuit from the aspect of error correction. Various constructions of the same logical network can be designed in order to compare the gate loads of different implementations and encoding or decoding schemas. It is a well structured software tool enabling expansion of other useful functions for realistic studies on quantum computation.
An autonomous software module for the estimation of quantum circuit noise is preseneted. Quantum noise is stochastically generated in quantum systems as decoherence, or during gate operations. The simulation is allowed for a single data block made of qubits. A simple quantum error correction protocol runs with a selected quantum error correction code and the module estimates the probability that the code will fail to work under particular noise regimes. The error correction protocol is described and the estimation method is analysed. The adopted module is integrated into QuCirDET maintaining its independence from the interface. The design tool can be used to create and test decoding schemes under different quantum codes.
The circuit model of quantum computation is the most common way to achieve a high-level representation of the computing evolution in a quantum computer. By using an already proposed software tool, the design and implementation processes are described for different architectures. The utility and potency of this tool is tested. Some representative examples are demonstrated to depict how it actually contributes to the implementation of a quantum circuit. Particular facilities may speedup the implementation process. A logic circuit's implementation can be automatically transformed into a fault-tolerant one by including the auxiliary encoding circuit overhead. Different design techniques are supported and recovery mechanisms can be included.
The QCAD which has been technologically advanced during last few years to support basic transformations, simulating multi-dimensional quantum devices and circuits. It is most important to demonstrate the theoretical operation of quantum computer using the simulator. Besides of describing various noise models in terms of quantum gates, a direct support of quantum error correction codes. Using the quantum error correction codes, the effects of applying single bit or phase flip error to the quantum circuits are reported along with the error recovery method for different qubit codes. The results are generated using the QCAD simulator. A simulation model for evaluating single qubit error in the proposed quantum circuit is also given. The working software prototype of an extremely efficient quantum computer simulator which is an attractive and versatile tool for both research and education.
Quantum-mechanical phenomena are playing an increasing role in information processing as transistor sizes approach the nanometer level, while the securest forms of communication rely on quantum data encoding. When they involve a finite number of basis states, these phenomena can be modeled as quantum circuits, the quantum analogue of conventional or classical logic circuits. Simulation of quantum circuits can therefore be used as a tool to evaluate issues in the design of quantum information processors. Unfortunately, simulating such phenomena efficiently is exceedingly difficult. The matrices representing quantum operators (gates) and vectors modeling quantum states grow exponentially with the number of quantum bits. The information represented by quantum states and operators often exhibits structure that can be exploited when simulating certain classes of quantum circuits. We study the development of simulation methods that run on classical computers and take advantage of such repetitions and redundancies. In particular, we define a new data structure for simulating quantum circuits called the quantum information decision diagram (QuIDD). A QuIDD is a compressed graph representation of a vector or matrix and permits computations to be performed directly on the compressed data. We develop a comprehensive set of algorithms for operating on QuIDDs in both the state-vector and density-matrix formats, and evaluate their complexity. These algorithms have been implemented in a general-purpose simulator program for quantum-mechanical applications called QuIDDPro. Through extensive experiments conducted on representative quantum simulation applications, including Grover's search algorithm, error characterization, and reversible circuits, we demonstrate that QuIDDPro is faster than other existing quantum-mechanical simulators such as the National Institute of Standards and Technology's QCSim program, and is far more memory-efficient. Using QuIDDPro, we explore the advantages of quantum computation over classical computation, simulate quantum errors and error correction, and study the impact of numerical precision on the fidelity of simulations. We also develop several novel algorithms for testing quantum circuit equivalence and compare them empirically. The QuIDDPro software is equipped with a user-friendly interface and is distributed with numerous example scripts. It has been used as a laboratory supplement for quantum computing courses at several universities.
We introduce AriaQuanta, a powerful and flexible tool for designing, simulating, and implementing quantum circuits. This open-source software is designed to make it easy for users of all experience levels to learn and use quantum computing. The first version includes a compiler for implementing various quantum circuits and algorithms. Additionally, parametric circuits allow for the implementation of variational quantum algorithms, and various noise models are available for simulating noisy circuits. We performed numerous numerical simulations on AriaQuanta in various applications, including quantum algorithms and noisy circuits. The results, compared with popular counterparts, demonstrate the high performance of AriaQuanta.
Logical operations are essential for quantum computation within quantum error-correcting codes. However, discovering their physical realizations is challenging, especially for non-additive codes that lack a stabilizer description. We present a general learning-based framework that, given only an encoding circuit, constructs physical implementations of logical operations while enforcing structural properties such as transversality or shallow depth. Our approach is validated by rediscovering known logical operations of standard stabilizer codes. We then extend it to a co-design procedure, dubbed variational early fault-tolerant quantum computing (VarEFTQC), which tailors non-additive encodings to a given noise model and enforces desired logical gate sets, such as transversal IQP-type families or low-depth universal sets. A software library implements the complete learning pipeline, including loss-function variants, ansatz families, and optimization routines. Together, these results position VarEFTQC as a proof-of-concept framework for discovering hardware-adapted logical gadgets for early fault-tolerant quantum computing.