- Will QSim Be A Game Changer In The Quantum Computing History?
India has reached a significant milestone in its research and development history. The Ministry of Electronics and Information Technology (MeitY) has released a long-awaited quantum computing simulation toolbox. This is also the first ‘Quantum Computer Simulator (QSim) Toolkit’ in the country. As per the report, IISc Bangalore, IIT Roorkee, and C-DAC have joined together for the first time in India to tackle the shared issue of expanding the quantum computing research frontiers in the nation. The major benefit is that the researchers and students will be able to conduct quantum computing research cost-effectively using this device.
Using the power of Quantum Mechanics, quantum computing can execute a range of tasks faster and more efficiently than current digital computers. Quantum computing offers exponential development in computer power in fields like encryption, computational chemistry, and machine learning. QSim is a valuable teaching and research tool that can help draw students and researchers to quantum technology. Recent research states that Quantum gates, Quantum memory, Quantum CPUs, Quantum controlling and measurement, and Quantum error-correction tools are some of the most current developments in terms of the fundamental building blocks for quantum computers. Let us now look at some recent scientific advances.
- Quantum Gates: For example, each quantum circuit may be decomposed into a collection of Toffoli gates or Fredkin gates, and can also imitate NOT or CNOT gates (Controlled-NOT gates). As a result, either gate may be utilised to achieve Universal Quantum Computing.
- Quantum Memory: Quantum memories in quantum circuit calculations are composed of ‘n’ stationary quantum states. Information is processed by storing and processing these quantum systems in a quantum register.
- Quantum CPUs: To communicate between the functional parts of a quantum computer, quantum CPUs rely on a quantum bus. Quantum CPUs may be addressed from a computing standpoint through the building pieces that comprise them: quantum adders.
- Controlling and Measurement: For quantum state manipulations, readout, error-correction procedures, and fault-tolerant quantum computations, the necessary control mechanisms are required.
- Quantum Error-Correction: To achieve high accuracy and appropriate coherence periods in quantum computing, quantum error-correction techniques have been developed.
Implementations of Quantum Algorithms:
Scientists and students may use QSim to create and debug quantum algorithms. To be noted, “Shor’s prime factorisation algorithm” is one of the most important quantum algorithms. Some quantum algorithm milestones are listed below with a goal to raise awareness on the topic:
- J Romero et al. proposed molecular energy quantum computing methods. The model is based on the simulation of molecule energies using the variational quantum eigensolver (VQE) method.
- G.G. Guerreschi et al. looked at the possibility of practical optimisation for hybrid quantum-classical algorithms and found that it was possible.
- For linear systems and least squares, I. Kerenidis et al. investigated quantum gradient descent.
- L. Zhao et al. looked at leveraging the relationship between entangled states and graph theory to perform rapid graph operations in quantum computers.
- For topological and geometric analysis of data, S. Lloyd et al. devised quantum algorithms.
- N. Wiebe et al. looked at efficient phase estimation methods.
Similarly, the list grows further. Researchers may use QSim to study quantum algorithms under idealised settings, and it helps them make the required preparations for experiments to run on quantum hardware. With the toolkit, students and users may learn to programme and construct actual quantum hardware. The project team said QSim delivers a powerful quantum computer simulator coupled with a graphical user interface based Workbench to design quantum programmes and observe the immediate circuit creation of simulated outputs. The Director of IIT Roorkee said researchers might use QSim to study quantum algorithms under idealised settings. It helps them make the required preparations for experiments to run on quantum hardware.
Are we equipped?
The Ministry of Electronics and Information Technology’s (MeitY) major initiation of QSim is a notable milestone in the history of Indian research. A while ago, Analytics India Magazine noted that quantum computing technology was already attracting the attention of major corporations. There was a list of the ‘Top Quantum Computing Project ideas‘ at the beginning of 2021 to provide researchers with a better understanding of the progress in the field. Top research institutions and top industries set forth to offer quantum computing courses, which many researchers and students are to benefit from. In the wake of QSim, India will soon have many significant accomplishments in quantum computing, undeniably proving to be a boon for the country’s start-ups and researchers.
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Nivash has a doctorate in Information Technology. He has worked as a Research Associate at a University and as a Development Engineer in the IT Industry. He is passionate about data science and machine learning.