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Mare Donohue's Retirement Celebration

Date: Friday, March 27th, 2026 12:30-2:30 PM - After nine years of dedicated service to RPI, Mare Donohue, Manager of Client Services Support, will retire at the end of March. As the face of IT, Mare has led the Help Desk with care and commitment, positively impacting countless students, faculty, and staff. Please join us in celebrating her career on Friday, March 27, from 12:30–2:30 PM at the Heffner Alumni House. Kindly RSVP: https://forms.cloud.microsoft/r/W9WxAqbk2j

03/11/2026 Onboarding session for Alorithmiq's Tensor-Network Error Mitigation used with Quantum

RPI has licensed Alorithmiq's Tensor-Network Error Mitigation (TEM) Qiskit function for use with our dedicated IBM Quantum System One and Premium IBM Quantum Cloud account.  An onboarding session is scheduled for Wednesday March 11th, 9:30 AM in CII 3206. Please click in for additional details.

03/25/2026 Onboarding session for Qedma's QESEM: error mitigation Qiskit function used with Quantum

RPI has recently acquired a license to Qedma's QESEM: error mitigation Qiskit function for use with RPI's dedicated IBM Quantum System One and Premium IBM Quantum Cloud account.  An onboarding session has been scheduled March 25th, 9:30 AM in CII 3206. Please click in for additional details.

A Non-Variational Quantum Approach to Solving Combinatorial Optimization Problems: Iterative-QAOA

Date: Thursday, March 5, 2026 12:00 PM - 1:00 PM - Quantum computers introduce new opportunities for modeling and solving decision problems. In this talk, we will first discuss the unique positioning of Industrial Engineering in the quantum research landscape that motivates new directions at the intersection of application and theory. Then as an example, we will present a new algorithm, Iterative-QAOA, for combinational optimization problems.

Systems Engineering & Technology Management Review with RPI at Work

Date: Thursday, March 5, 2026 12:00 PM - 12:30 PM - This 30-minute information session is hosted by Dean Aric Krause, Ph.D., and will focus on RPI's Systems Engineering & Technology Management graduate degree. The degree is digitally delivered, flexible, and project-based to prepare decision-makers with broader and deeper capabilities in leading dynamic organizations. The session will highlight program details and how you can select graduate certificates relevant to your work to complete your graduate degree. Please register to attend
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