Public profile
Research areas
Quantum Computing, Quantum AI, High-Performance Computing (HPC)
Computer Science
Tirthak Patel
Assistant Professor of Computer Science
Member, Ken Kennedy Institute
Average rating
3.7
13 temporary mock ratings
Difficulty
3.4
course-linked average
Courses
6
in seeded sections
Courses taught
APPL 800
Research And Thesis
Thesis research under the supervision of faculty. Repeatable for Credit.
Applied PhysicsNone1-15 credits
3.59.5hAjayan, Pulickel, Alabastri, Alessandro, Azhang, Behnam, Bagchi, Kushal, Baraniuk, Richard G, Biswal, Sibani, Brake, Matthew, Bulchandani, Vir, Chan, Anthony, Chen, Songtao, Dai, Pengcheng, Grande-Allen, K. Jane, Gustavsson, Anna-Karin, Halas, Naomi, Han, Yimo, Huang, Shengxi, Hulet, Randy, Kampouri, Stavroula, Kemere, Caleb, Killian, Thomas, Kono, Junichiro, Lee, Hae Yeon, Luan, Lan, Ma, Xuedan, Marciel, Amanda, Martin, Lane, Mohite, Aditya, Morosan, Emilia, Naik, Gururaj, Natelson, Doug, Nordlander, Peter, Pagano, Guido, Patel, Ankit, Patel, Tirthak, Pu, Han, Raphael, Rob, Robinson, Jacob, Sabharwal, Ashutosh, Sempionatto Moreto, Juliane, Shah, Nishal, Shee, James, Si, Qimiao, Szablowski, Jerzy, Tang, Ming, Tkaczyk, Tomasz, Tour, James, Tringides, Christina, Veeraraghavan, Ashok, Verduzco, Rafael, Vlassakis, Julea, Wehmeyer, Geoff, Wittung Stafshede, Pernilla, Wolynes, Peter, Wong, Michael, Xie, Chong, Xie, Yonglong, Yi, Ming, Zhang, Yirui Arlene, Zhao, Yuji, Zhu, Hanyu
COMP 390
Computer Science Projects
Theoretical and experimental investigations under staff direction. Repeatable for Credit.
Computer ScienceNone1-3 credits
4.26.2hAliakbarpour, Maryam, Chen, Hanjie, Chen, Ken, Cox, Alan L., Cutler, Scott, Ferreira Flores, Rodrigo, Hang, Kaiyu, Johnson, Dave, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Myers, Risa, Nakhleh, Luay, Ng, T. S. Eugene, Patel, Tirthak, Sano, Akane, Schreib, Rebecca, Sedlazeck, Fritz, Subramanian, Devika, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Veeraraghavan, Ashok, Warren, Joe D., Wong, Stephen
COMP 458
Quantum Computing Systems
Quantum computing is an emerging field with the potential to revolutionize various industries, including cryptography, scientific computation, optimization, and machine learning. Quantum Computing Algorithms is a course designed to introduce students to the foundations and practical implementations of quantum computing from a systems perspective to equip them for the evolving technological landscape. The course will first refresh students on the required mathematical concepts in linear algebra, probabilities, and statistics. Students will also learn about fundamental quantum principles, including superposition, entanglement, reversibility, interference, and circuits. The course will then delve into advanced quantum algorithms, especially variational and parameterized codes, including search, optimization, and machine learning, and error mitigation and correction concepts. Students will gain hands-on experience with Python-based quantum programming languages, Cirq, and Pennylane, to program current quantum computers. Mutually Exclusive: Cannot register for COMP 458 if student has credit for COMP 558. Cross-list: COMP 558. Mutually Exclusive: Cannot register for COMP 458 if student has credit for COMP 558.
Computer ScienceNone3 credits
4.010.6hPatel, Tirthak
COMP 558
Quantum Computing Systems
Quantum computing is an emerging field with the potential to revolutionize various industries, including cryptography, scientific computation, optimization, and machine learning. Quantum Computing Algorithms is a course designed to introduce students to the foundations and practical algorithms of quantum computing from a systems perspective to equip them for the evolving technological landscape. The course will first refresh students on required mathematical concepts in linear algebra, probabilities, and statistics. Students will also learn about fundamental quantum principles, including superposition, entanglement, reversibility, interference, and circuits. The course will then delve into advanced quantum algorithms, especially variational and parameterized codes, including search, optimization, machine learning, and quantum simulation. Students will gain hands-on experience with Python-based quantum programming languages, Cirq and Tensorflow Quantum, to program current quantum computers. Cross-list: COMP 458. Recommended Prerequisite(s): COMP 382 and (CMOR 302 or CMOR 303 or MATH 355 or MATH 354) Mutually Exclusive: Cannot register for COMP 558 if student has credit for COMP 458.
Computer ScienceNone3 credits
3.410.7hPatel, Tirthak
COMP 590
Computer Science Projects
Advanced theoretical and experimental investigations under staff direction. The student must have a full-time internship to receive 4 credits for this course. Repeatable for Credit.
Computer ScienceNone1-4 credits
3.45.7hAliakbarpour, Maryam, Baraniuk, Richard G, Chen, Hanjie, Chia, Nai-Hui, Cox, Alan L., Fallah, Alireza, Goldman, Ron, Hang, Kaiyu, Jermaine, Christopher, Joyner, Mack, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Mamouras, Konstantinos, Mellor-Crummey, John, Myers, Risa, Nakhleh, Luay, Ng, T. S. Eugene, Ordonez Roman, Vicente, Patel, Ankit, Patel, Tirthak, Rixner, Scott, Shrivastava, Anshumali, Simar, Ray, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Wang, Yuke, Warren, Joe D., Wei, Chen, Wong, Stephen, Xing, Jiarong, Yao, Vicky
COMP 800
Graduate Research
Repeatable for Credit.
Computer ScienceNone1-15 credits
4.28.5hAliakbarpour, Maryam, Braverman, Vladimir, Chen, Hanjie, Chia, Nai-Hui, Cooper, Keith, Cox, Alan L., Fallah, Alireza, Goldman, Ron, Hang, Kaiyu, Hu, Ben, Jermaine, Christopher, Johnson, Dave, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Mamouras, Konstantinos, Mellor-Crummey, John, Nakhleh, Luay, Ng, T. S. Eugene, Ordonez Roman, Vicente, Patel, Ankit, Patel, Tirthak, Phillips, George, Rixner, Scott, Shrivastava, Anshumali, Subramanian, Devika, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Varman, Peter, Wallach, Dan S., Wang, Yuke, Warren, Joe D., Wei, Chen, Xing, Jiarong, Yao, Vicky