Events

Quantum computing is a new computing paradigm that harnesses the power of quantum mechanics to provide exponential speedup in information processing.  Learning quantum programming is vital in unlocking the potential of this revolutionary technology.

QCIG at BITS Pilani brings a one-day workshop IWQP on Quantum Programming for UG/PG/PhD students and interested faculties. This workshop has no-prerequisite and will cover the required foundations and start quantum programming with Qiskit.  

SCHEDULE:
9:00AM: Introduction to Quantum Computing - Prof. Ashutosh Bhatia
10:00AM: Mathematical Foundation for Quantum Computing - Prof. Sainath Bitragunta
11:00AM: Quantum Algorithms: Qubits, Gates and Cirquits - Mr. Ashutosh Vyas
12:00PM: Grover's Search Algorithm - Prof. Kamlesh Tiwari
02:00PM: Hand-on Session: Programming with Quiskit - Mr. Ashutosh Vyas, Ashutosh Bhatia, and Kamlesh Tiwari

Registration: https://forms.gle/d7maWzG4NNcxb76o6

Abstract:
Over recent decades, quantum computing and quantum communication systems have been the subject of intense research interest among computer scientists, electrical engineers and physicists alike. This talk is an attempt to demystify some of the key concepts and features underlying quantum communication systems. We  shall begin the session by outlining the fundamental axioms of quantum theory, which form the basis of our understanding of quantum phenomena. Mr. Shantom Borah will then introduce the concept of quantum teleportation, which forms a key component of many quantum communication protocols, and delve into the use of quantum teleportation in the design of quantum repeaters. Finally, we shall look at the entanglement distillation protocol and describe how it can be used in conjunction with quantum repeaters to build long distance quantum communication links. The session shall conclude with a discussion of some of the important research directions on the topics covered, that are currently being pursued by the quantum community.

Abstract:
This session provided a brief overview of the potential benefits of quantum computing for data scientists. It covered the basics of quantum computing, such as qubits, quantum gates, and superposition, and discussed how they differ from classical computing. In the session we shared a brief introduction on quantum computing based data science methodologies which can help solve different use cases. Introduction also included different mechanisms and SDKs available to perform machine learning and optimization tasks. We further also explored potential applications of quantum computing in data science, such as faster data analysis, optimization, and machine learning. Finally, we took a look at the potential use cases candidates could come up with to start their journey in quantum computing.

Abstract:
Quantum computers have provided a realistic hope of transforming the limits of computation in the near future. The discovery of Grover and Shor's algorithm showed that quantum  computers provide asymptotic speedups for natural problems like searching and factoring. Shor's efficient algorithm for factoring and discrete logarithm can be used to break  existing cryptographic systems.  The emerging field of quantum computing, lying at the intersection of physics, mathematics and computer science, poses a lot of natural questions. The main objective of this talk was to introduce participants to the field of quantum algorithms and attempt to answer the following questions:

1) Why should we believe that a quantum computer can be made?
2) Why should a quantum computer have more computational power than the conventional classical computer?
3) What are the areas where quantum computers can make an impact?