In the last decades, great achievements have been made in the development of computing machines. However, due to exponential growth of transistor density and in particular due to tremendously increasing power consumption, researchers expect that "Conventional Technologies" like Complementary Metal-Oxide Semiconductor will reach their limits in near future. To further satisfy the needs for more computational power, speed, less size etc. alternatives are needed. Reversible Computation is the emerging field and alternative of conventional technologies. Reversible Computation is emerging as a promising solution and likely to work on extremely low power technologies and offer high speed computations. The reversibility retains the capability to retrieve the input data from output and minimizes heat dissipation. As migration to new technology leave a lot of work done in current technology will make the acceptability difficult. One side familiarly with new technology and other side transformation of old circuit designs to new technology will pose a challenge to designers. A need for convertibility of irreversible circuit to reversible circuit was felt that can make a quick start and keep the development on track. In this dissertation a logic circuit design entry based on binary logic system has been taken up that can provide the ease of circuit design in binary logic system and output as reversible circuit. Entire environment is GUI based and easy to learn user friendly. This tool offers editing, storage and conversion into reversible facility.
The synthesis approaches for quantum circuits typically aim at minimizing the number of lines or gates. Given the tight restrictions on those logical resources in physical implementations, we propose to view the problem fundamentally different: Given noisy gates and a fixed number of lines, how can we use them to perform a computation as precisely as possible? In this paper we show approximate circuits can be deployed for computations with limited resources. Performing experiments on a QC simulator, we show that under the influence of noise, approximate circuits can have lower error-rates than…
In this work, we consider error detection via simulation for reversible circuit architectures. We rigorously prove that reversibility augments the performance of this simple error detection protocol to a considerable degree. A single randomly generated input is guaranteed to unveil a single error with a probability that only depends on the size of the error, not the size of the circuit itself. Empirical studies confirm that this behavior typically extends to multiple errors as well. In conclusion, reversible circuits offer characteristics that reduce masking effects -- a desirable feature that…
Near zero-energy computing describes the concept of executing logic operations below the (kBT ln 2) energy limit. Landauer discussed that it is impossible to break this limit as long as the computations are performed in the conventional, non-reversible way. But even if reversible computations were performed, the basic energy needed for operating circuits realized in conventional technologies is still far above the (kBT ln 2) energy limit, i.e. the circuits do not operate physically reversible. In contrast, novel nanotechnologies like Quantum-dot Cellular Automata (QCA) allow for computations w…
Linear reversible circuits represent a subclass of reversible circuits with many applications in quantum computing. These circuits can be efficiently simulated by classical computers and their size is polynomially bounded by the number of qubits, making them a good candidate to deploy efficient methods to reduce computational costs. We propose a new algorithm for synthesizing any linear reversible operator by using an optimized version of the Gaussian elimination algorithm coupled with a tuned LU factorization. We also improve the scalability of purely greedy methods. Overall, on random operat…
In quantum computing the decoherence time of the qubits determines the computation time available and this time is very limited when using current hardware. In this paper we minimize the execution time (the depth) for a class of circuits referred to as linear reversible circuits, which has many applications in quantum computing (e.g., stabilizer circuits, CNOT+T circuits, etc.). We propose a practical formulation of a divide and conquer algorithm that produces quantum circuits that are twice as shallow as those produced by existing algorithms. We improve the theoretical upper bound of the dept…
Reversible circuits form the backbone for many promising emerging technologies such as quantum computing, low power/adiabatic design, encoder/decoder devices, and several other applications. In the recent years, the scalable synthesis of such circuits has gained significant attention. In this work, we present the SyReC Synthesizer, a synthesis tool for reversible circuits based on the hardware description language SyReC. SyReC allows to describe reversible functionality at a high level of abstraction. The provided SyReC Synthesizer then realizes this functionality in a push-button fashion. Cor…
The Hidden Weighted Bit function plays an important role in the study of classical models of computation. A common belief is that this function is exponentially hard for the implementation by reversible ancilla-free circuits, even though introducing a small number of ancillae allows a very efficient implementation. In this paper, we refute the exponential hardness conjecture by developing a polynomial-size reversible ancilla-free circuit computing the Hidden Weighted Bit function. Our circuit has size $O(n^{6.42})$, where $n$ is the number of input bits. We also show that the Hidden Weighted B…