Rishabh Gupta Email & Phone Number

Toronto, Ontario, Canada

Raleigh, North Carolina, United States

United States

• Quantum State Tomography (QST) based on Max Entropy: Proposed and developed an alternative approach to QST, employing the formalism of maximal entropy (MaxEnt), for reconstruction of high-fidelity quantum states and.
• Variational approach to QST based on MaxEnt: Employed a hybrid quantum-classical variational algorithm and hardware efficient ansatz to prepare the least biased mixed quantum state, consistent with the given set of.
• Imaging molecular dynamics with Quantum Tomography: Formulated measurement operators for time-resolved quantum tomography to capture electronic and vibrational dynamics of excited ammonia molecule in the lab frame..
• Hamiltonian Learning from time dynamics: Devised a general variational optimization algorithm to reconstruct the Hamiltonian of a system in the Pauli basis using time series dataset of correlation function observables.
• Entropy-Corrected Geometric Brownian Motion: Introduced a novel approach, Entropy-Corrected Geometric Brownian Motion, integrating principles from information theory and entropy to tackle non-normal behavior in.
• Quantum Machine Learning for Chemistry and Physics: Contributed significantly to the review article published in the high impact journal: Chem. Soc. Rev.

Boston, Massachusetts, United States

• Devised an innovative algorithm to create low-risk portfolios comprising n-stocks from the S&P500 index.
• The algorithm analyzed the covariance matrix of n-stock portfolios, enabling accurate prediction of portfolio volatility for the upcoming year and providing robust risk assessments for users.
• Successfully adapted the algorithm to construct low-risk crypto portfolios, enhancing the ability to define precise entry and exit points for short-term trading strategies.
• Collaborated with the team to integrate the newly devised algorithm into an internally developed back-testing platform, ensuring its seamless incorporation for evaluating portfolio performance and risk management.

Delhi, India

• Forex/Commodity markets:
• Engineered an algorithmic trading bot utilizing regression and classification Machine Learning models as well as adopted concepts from supervised similarity model into training the bot.
• Managing portfolios of 60+ clients with a combined investment of over $350,000, yielding an impressive average annual return of 40% based on the developed software.
• Orchestrated a team of 5 people towards the implementation of the trading bot across all user accounts¬. Equity/Options markets:
• Conducted market entropy analysis to predict market volatility shifts during significant events (e.g., Covid-19, Russia-Ukraine war, etc.) and economic occurrences like interest rate changes, pre-emptively.
• Introduced an innovative approach centered on mean-reversal of market volatility, utilizing variance variation in individual assets for strategic option trading.

Boston, Massachusetts, United States

• Conducted an in-depth analysis of diverse quantum algorithms, assessing their speedup potential across a range of magnitudes (quadratic to exponential), while also accounting for associated error-correction overhead.
• The project helped in the understanding of the type of algorithms the industry should be focusing on to achieve practical quantum advantage for business applications in the near-term.

Mohali, Punjab, India

-Implemented (t,t') method for solving TDSE within Kramers-Henneberger frame of reference.-Worked on laser-molecule interactions involving wave-packet propagation on a model PES.

Winnipeg, Manitoba, Canada

-Developed an orbital optimization algorithm to effectively capture static correlation in Natural Orbital Functional theory.

Hyderabad, Telangana, India

-Implemented Fourier Grid Hamiltonian and 2D DVR methods to solve a model 2D problem-The Henon-Heiles potential.-Developed O(N)-memory algorithm for evaluating TISE for a 2D Hamiltonian.

Mumbai, Maharashtra, India

-Performed ab initio quantum chemical calculations for theoretical prediction of a new series of noble gas hydrides, HNgCCO+.

Doctor Of Philosophy - Phd, Quantum Information And Quantum Computation

Bs-Ms, Theoretical Chemistry