We are using Quantum GANs (Quantum Machine learning) to generate small molecules aimed at drug development. With this project presented at the QETCI Hackathon (globally reputed quantum science and technology hackathon), TechM was among the top 5.
The Future of Computing
Efficient computing systems will be the backbone of businesses in the future. Our innovation on quantum technologies relies on high-performance and energy-efficient computing systems to meet the growing demands of multi-compute converging use cases.
The Evolution
Quantum physics and its principles have existed since 1920, but the change that has happened now in where hardware is making quantum computing practical.
Two significant changes have pushed this boundary:
Quantum Annealing is the process where we use the universal law of how the energy of any system tends to take the minimal path. The energy of any object in the world is referred to by a term called the ‘Hamiltonian’. Although a Hamiltonian is a big term, in simple terms, it means the energy of a physical system. It can also be regarded as a combination of potential energy and kinetic energy.
A ball on a table has a higher Hamiltonian (potential energy) than one on the ground. Now, consider if I can code a mathematical equation in terms of energy and give it to a quantum computer, the universe itself would try and find the lowest possible energy state, which turns out to be the global minimum of energy. In simplistic terms, optimization problems can be solved in this manner, and they are. Examples include positioning satellites in orbit for portfolio optimization. In a quantum annealer, we have as many as 1000 qubits working at a hardware level. There are applications of quantum annealers in the practical domain, and companies like D-wave are pushing the envelope there.
The other push is the creation of a universal computer that works on the same principles as our classical (current) computers. This includes formulating gates like ‘AND’ and' NAND’ using qubits (quantum bits).
Over the past few years, the error in qubits has been reduced, giving more viable breakthroughs for quantum computing in the future. There are a few organizations that are on this path. IBM is a prominent one in this regard. The IBM quantum computer uses superconducting transmon qubits, which work to ensure gate computing comes to the fore. Today, the IBM quantum computer has around 400 K+ users, about 3.5 B+ daily transactions, and 170+ members of their quantum network, of which Tech Mahindra is also a part. IBM has an Eagle quantum computer accessible via their cloud, providing 127 qubits, and there is a plan to go further with as many as 1000 qubits. This would significantly transform the computing landscape in 3-5 years.
Tech Mahindra’s Approach to Quantum Computing
Makers Lab has been incubating this technology since the inception and we have been focusing on the areas of:
- Quantum Security
- Quantum Machine Learning
Key Focus Areas
Our Pioneering Work in Quantum Computing
Thought Leadership
Views
Quantum Technologies: Transforming Security for Telecom, Banking, Debit and Credit Cards
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