Gauss works with thetamachinetech.com to launch summer and year-long study and research programs on Quantum Information, Quantum Computation, and Machine Learning Techniques.
Theta Machine Technologies Corp. is a research institute based in New Jersey. Its outreach program trained many young researchers and helped them to win awards including RSI, ISEF, and STS finalists. It has a long-term cooperation with New Jersey's elite high schools like BCA, HTHS and institutes like Liberty Science Center. The graduates have been accepted in Harvard, MIT, Princeton, Yale, Columbia, Cornell and other top colleges.
Theta Machine Technologies Corp. is a research institute based in New Jersey. Its outreach program trained many young researchers and helped them to win awards including RSI, ISEF, and STS finalists. It has a long-term cooperation with New Jersey's elite high schools like BCA, HTHS and institutes like Liberty Science Center. The graduates have been accepted in Harvard, MIT, Princeton, Yale, Columbia, Cornell and other top colleges.
2025 Quantum Computation, Quantum Information and Quantum Machine Learning Summer Online Research Workshop
(www.thetamachinetech.com/quantum-summer-research)
Dr Chen has been the professor of physics at New York Institute of Technology. Chen's research focus centers on quantum information science and engineering, with distinct expertise in theoretical modeling and simulation of complex quantum systems. Furthermore, he has conducted comprehensive exploration into the utilization of entanglement to propel advancements in quantum metrology.
Mr. Chen is a PhD candidate at Stevens Institute of Technology in theoretical physics. His research work is on quantum information and quantum control.
Ms. Yu is a Senior student at MIT, majoring in Physics and Mathematics. Her research work focuses on quantum tunneling and gravitational theory.
Mr. Yu is a PhD candidate at Brown, majoring in Computer Science. His research work focuses on AI and Machine learning.
(www.thetamachinetech.com/quantum-summer-research)
- Quantum Information Workshop (July 14-18 Mon-Fri, 1:00-4:00 PM ET)
- Quantum Computation Workshop (July 21-25 Mon-Fri, 1:00-4:00 PM ET)
- Quantum Machine Learning Workshop (July 28-Aug 1 Mon-Fri, 1:00-4:00 PM ET)
- Format: 2-hour Lecture and 1-hour Recitation
- Eligibility: Students in grades 8-11 with a strong foundation in mathematics, physics, and computer science
- Lecture Teacher:
Dr Chen has been the professor of physics at New York Institute of Technology. Chen's research focus centers on quantum information science and engineering, with distinct expertise in theoretical modeling and simulation of complex quantum systems. Furthermore, he has conducted comprehensive exploration into the utilization of entanglement to propel advancements in quantum metrology.
- Recitation Teachers:
Mr. Chen is a PhD candidate at Stevens Institute of Technology in theoretical physics. His research work is on quantum information and quantum control.
Ms. Yu is a Senior student at MIT, majoring in Physics and Mathematics. Her research work focuses on quantum tunneling and gravitational theory.
Mr. Yu is a PhD candidate at Brown, majoring in Computer Science. His research work focuses on AI and Machine learning.
1:1 Quantum Research Programs
(www.thetamachinetech.com/11-quantum-research)
The Quantum Research is dedicated to advancing the frontiers of quantum information science, quantum computation, and quantum machine learning. Our work focuses on both foundational and applied aspects of these fields, aiming to develop innovative algorithms, computational models, and theoretical frameworks that push the limits of quantum technologies.
Research Areas Include:
By integrating theoretical research with practical implementations, 1-1 Quantum Research seeks to bridge the gap between abstract quantum principles and real-world technological advancements, contributing to the development of next-generation quantum computing and intelligent quantum systems.
The research mentors include quantum experts from prestigious institutions such as the Stevens Institute of Technology, MIT, the New York Institute of Technology, Brown, and other renowned research organizations.
1-1 Quantum Research offers three distinct research tracks--10-week, 20-week, and 40-week programs—tailored to different levels of depth and commitment in quantum information science, quantum computation, and quantum machine learning. Each program is designed to provide hands-on experience, theoretical insights, and computational skills for tackling cutting-edge quantum research challenges.
10-Week Research Program: The 10-week research program is an intensive, introductory-level experience designed for students and researchers looking to develop foundational skills in quantum computing and quantum information theory. This program provides a structured approach to learning key quantum concepts while engaging in small-scale research projects.
Best For:
20-Week Research Program: The 20-week research program provides a more in-depth research experience, allowing participants to engage in mid-scale quantum research projects while developing a strong theoretical and computational foundation.
Best For:
40-Week Research Program: The 40-week research program is a long-term, immersive research experience designed for individuals committed to making significant contributions to quantum computation and quantum machine learning. Participants engage in full-scale research projects, often leading to publications, software contributions, or experimental collaborations.
Best For:
(www.thetamachinetech.com/11-quantum-research)
The Quantum Research is dedicated to advancing the frontiers of quantum information science, quantum computation, and quantum machine learning. Our work focuses on both foundational and applied aspects of these fields, aiming to develop innovative algorithms, computational models, and theoretical frameworks that push the limits of quantum technologies.
Research Areas Include:
- Quantum Information Theory: Investigating fundamental properties of quantum information, including quantum entanglement, nonlocality, and quantum error correction, to enhance secure communication and quantum cryptographic protocols.
- Quantum Computation: Designing new quantum algorithms, improving fault tolerance, and exploring novel quantum architectures to optimize the performance of quantum processors for practical and large-scale computations.
- Quantum Machine Learning: Developing hybrid quantum-classical learning models, quantum neural networks, and variational quantum algorithms to accelerate data processing, optimization, and pattern recognition tasks.
- Quantum Many-Body Systems and Complexity: Studying the computational complexity of quantum many-body problems, quantum chaos, and emergent phenomena in interacting quantum systems relevant to computation and machine learning.
- Noise and Open Quantum Systems: Understanding decoherence and dissipation in quantum processors and quantum learning models, with the goal of improving robustness and efficiency in real-world quantum computing applications.
By integrating theoretical research with practical implementations, 1-1 Quantum Research seeks to bridge the gap between abstract quantum principles and real-world technological advancements, contributing to the development of next-generation quantum computing and intelligent quantum systems.
The research mentors include quantum experts from prestigious institutions such as the Stevens Institute of Technology, MIT, the New York Institute of Technology, Brown, and other renowned research organizations.
1-1 Quantum Research offers three distinct research tracks--10-week, 20-week, and 40-week programs—tailored to different levels of depth and commitment in quantum information science, quantum computation, and quantum machine learning. Each program is designed to provide hands-on experience, theoretical insights, and computational skills for tackling cutting-edge quantum research challenges.
10-Week Research Program: The 10-week research program is an intensive, introductory-level experience designed for students and researchers looking to develop foundational skills in quantum computing and quantum information theory. This program provides a structured approach to learning key quantum concepts while engaging in small-scale research projects.
Best For:
- Students with strong backgrounds in mathematics, physics, or computer science who are new to quantum computing.
- Those looking for a short-term research experience with exposure to quantum technologies.
20-Week Research Program: The 20-week research program provides a more in-depth research experience, allowing participants to engage in mid-scale quantum research projects while developing a strong theoretical and computational foundation.
Best For:
- Researchers seeking deeper engagement in quantum science
- Those interested in pursuing academic publications, preparing for advanced research, accumulating some research experience to apply for the elite summer camps, or participating some research fairs.
40-Week Research Program: The 40-week research program is a long-term, immersive research experience designed for individuals committed to making significant contributions to quantum computation and quantum machine learning. Participants engage in full-scale research projects, often leading to publications, software contributions, or experimental collaborations.
Best For:
- Advanced students and researchers aiming for publication-worthy research and planning for research competitions like ISEF and STS.
2025-26 Quest for Quantum (Q4Q) Study Workshop
(www.thetamachinetech.com/education)
Quest for Quantum (Q4Q) is an introductory course that offers an exceptional opportunity to delve into the realms of quantum information and quantum computing science. As one of the most exciting scientific and technological advancements of the 21st century, quantum science and technology are at the forefront of modern innovation.
This course integrates lectures and simulations into a dynamic teaching platform, designed to help students explore quantum mechanics, computer science, and quantum technology. It aims to enhance students' analytical skills, numerical simulation abilities, and critical thinking. The coursework will focus on key quantum topics and significant questions that may inspire further research and investigation.
Q4Q program covers a comprehensive range of topics in quantum information science and quantum computation. Here's a breakdown of each topic:
Each of these areas represents an essential aspect of quantum information science and quantum computation, and a thorough understanding of these topics is crucial for anyone looking to make significant contributions in the field. The supervision and instruction from experts in quantum science and technology will undoubtedly provide valuable insights and guidance throughout the research program.
or
Session 2: 1/18/2026-3/15/2026 (9 weeks) Sunday 8:00-9:00 ET
(www.thetamachinetech.com/education)
Quest for Quantum (Q4Q) is an introductory course that offers an exceptional opportunity to delve into the realms of quantum information and quantum computing science. As one of the most exciting scientific and technological advancements of the 21st century, quantum science and technology are at the forefront of modern innovation.
This course integrates lectures and simulations into a dynamic teaching platform, designed to help students explore quantum mechanics, computer science, and quantum technology. It aims to enhance students' analytical skills, numerical simulation abilities, and critical thinking. The coursework will focus on key quantum topics and significant questions that may inspire further research and investigation.
Q4Q program covers a comprehensive range of topics in quantum information science and quantum computation. Here's a breakdown of each topic:
- Quantum Foundation: This would involve understanding the basic principles of quantum mechanics that underpin quantum information science, including the concept of qubits (quantum bits), quantum gates (the basic building blocks of quantum circuits), and quantum circuits themselves.
- Quantum Non-Cloning Theory: This topic delves into the "no-cloning theorem" in quantum mechanics, which states that it is impossible to create an exact copy of an arbitrary unknown quantum state.
- Quantum Cryptography: Quantum cryptography utilizes quantum properties to secure communication channels, offering theoretically unbreakable encryption methods.
- Quantum Machine Learning: This area explores how quantum computing techniques can enhance machine learning algorithms, potentially offering significant speedups for certain types of problems.
- Quantum Communication: Quantum communication involves transmitting quantum information securely using quantum properties such as entanglement and superposition.
- Quantum Information Processing: This encompasses the broader field of processing and manipulating quantum information, including quantum error correction and fault-tolerant quantum computing.
- Quantum Computers: This topic would involve studying the architecture, operation, and potential applications of quantum computers.
- Quantum Algorithms: Quantum algorithms are specialized algorithms designed to run on quantum computers, taking advantage of their unique properties to solve certain problems more efficiently than classical algorithms.
- Noise, Decoherence, and Quantum Control: These are critical topics in quantum computing, addressing challenges such as minimizing errors caused by environmental noise, decoherence (loss of quantum coherence), and implementing effective quantum control techniques to maintain the integrity of qubits.
Each of these areas represents an essential aspect of quantum information science and quantum computation, and a thorough understanding of these topics is crucial for anyone looking to make significant contributions in the field. The supervision and instruction from experts in quantum science and technology will undoubtedly provide valuable insights and guidance throughout the research program.
- Eligibility: This introductory workshop is specifically designed for middle/high school students and above or anyone with an equivalent background. A good foundation in Math, Physics and Computer science is recommended.
- Date and Time:
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Session 2: 1/18/2026-3/15/2026 (9 weeks) Sunday 8:00-9:00 ET
- Format: Lecture and simulation lab
- Cost: $199
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