PHD Researcher

Quantum Open Source Foundation

Leading & Managing the QOSF Mentorship program globally

Lead

I am a mentor and supervisor for quantum research and quantum education for the 4th cohort which ran from 12th October 2021 to 16th January 2022

Mentor

Recognized by IBM for quantum community building and quantum software contributions in the field of quantum computing. Continuously involved in directing Qiskit and quantum computing related activities such as workshops, webinars, hackathons, and outreach events.

It is to be noted that I am not an official IBM employee with this position.

Qiskit Advocate

I am a member of IBM Quantum Educators Program through which I provide educational support by delivering technical training to professionals and students in a simple effective manner.

It is to be noted that I am not an official IBM employee with this position. I am part of their IBM Quantum Educators program.

Quantum Educator

Udemy

I am instructor for the following courses - 
1. Quantum Computing with Qiskit Ultimate Masterclass - https://www.udemy.com/course/quantum-computing-with-ibm-qiskit-ultimate-masterclass/

Instructor

Fractal

Quantum AI Scientist focusing on cutting-edge research related to Quantum Chemistry and Quantum Machine Learning (QML)

Lead Quantum AI Scientist

Woxsen University

I taught the subject - "Principles of Quantum Computing" to MBA (BA, AI&ML) and MBA (General) students as a part of their curriculum. The syllabus which was covered included prerequisites of Quantum Computing, Quantum Computing with IBM Qiskit, Quantum Machine Learning with PennyLane, Quantum Applications such as Finance, Chemistry, Optimization, Basics of ZX Calculus and Quantum Natural Language Processing (QNLP)

Clinical Professor of Practice (Adjunct)

University of Southern Queensland

I was an external adjunct associate supervisor for mentoring and supervising a PhD student Dr Farina Riaz in the field of Quantum Machine Learning for the Australian Smart Cities project.

Associate Supervisor 

Universidad Polit��cnica de Madrid

I am pursuing my Master Degree programme in the field of Quantum Computing Technology.

Term 1 Modules :-
1. A01 - Introduction to Quantum Computing
2. A02 - Current Quantum Technologies
3. A03 - Quantum Algorithms
4. A04 - Quantum Communications
5. A05 - Quantum Walks and Quantum Queries
6. A06 - Practices with Quantum Computing Simulators

Term 2 Modules :-
1. A07 - Quantum Simulation
2. A08 - Adiabatic Quantum Computing
3. A09 - Quantum Cryptography
4. A10 - Quantum Computing Errors and Quantum Error Correcting Codes
5. A11 - Practices with Gate Oriented Quantum Computers
6. A12 - Practices with Adiabatic Quantum Computers

Term 3 Module :-
A13 - Master Thesis
Quantum Natural Language Processing using DisCoCat and Survey on ZW Calculus for Fermionic Quantum Computing

Postgraduate Student

QWorld

Supervised and Mentored 3 Quantum Education and Research Projects on the following topics - 
1. Quantum Computing with Spiders (ZX Calculus) - 4 Students Supervised 
2. Quantum Natural Language Processing with DisCoPy - 4 Students Supervised 
3. Quantum Computing for Music Composition - 3 Students Supervised

Quantum Research Internship Mentor and Supervisor

Lead, discussed and taught various research papers on Quantum Machine Learning along with PennyLane library practical demonstrations. Covered various algorithms such as Variational Quantum Eigensolver (VQE), Variational Quantum Classifier (VQC), Quantum Approximate Optimization Algorithm (QAOA), Kernel method based Quantum Machine Learning, Quanvolutional Neural Networks, Quantum Transfer Learning and Quantum GANs. Quantum Gradients and Barren Plateau phenomena were also discussed during the meetings.

Quantum Machine Learning Study Group Leader and Mentor

***Important Note - Please email me here for immediate queries - srinjoyganguly@gmail.com . I am receiving a lot of messages here and I am super grateful to everyone and do my best to help but it is very difficult to reply. Thank you so much for your kind understanding!***

I am prominently passionate and encouraged towards research on the following research areas :-

1. Quantum Natural Language Processing (QNLP)
2. Quantum Machine Learning and Quantum Artificial Intelligence.
3. Graphical Calculus for Quantum Computing
4. Quantum Image Processing (QIMP)
5. Machine Learning
6. Deep Learning & Computer Vision
7. Digital Signal Processing and Statistical Signal Processing - Statistical Estimation and Detection Theory.
8. 5G Wireless Communications, Networks and it's Signal Processing - Massive MIMO Wireless Systems.
9. Artificial Intelligence at the Edge.

GitHub Link for my projects - https://github.com/srinjoyganguly

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