Exploring Quantum Computing with Alba Cervera-Lierta
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The 56th episode of Datacast features an enlightening discussion with Alba Cervera-Lierta, a postdoctoral researcher at the Matterlab group at the University of Toronto. Our conversation spanned her journey into physics, her research on Bell inequalities, multipartite entanglement, and the intersection of quantum computing and machine learning. Alba also shared her educational initiatives aimed at raising awareness about quantum technologies, among other topics.
Listen to the show on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) Stitcher, (5) iHeart Radio, (6) Breaker, and (7) RadioPublic.
Key Takeaways
Highlights from my conversation with Alba include:
On Studying Physics at The University of Barcelona
Alba's early fascination with science was nurtured by her father and an inspiring high school physics teacher, which led her to pursue physics as a discipline. With a focus on quantum physics and quantum information, she expressed her interest in fundamental questions that distinguish quantum mechanics from classical physics. Her studies at the University of Barcelona marked her as one of the pioneers in quantum information.
On Bell Inequalities
Bell's theorem, established in the 1960s by John Bell, revealed that quantum physics could potentially be understood through a local hidden variable theory. This groundbreaking finding suggested that quantum entangled particles exhibit correlations that classical physics alone cannot fully explain. Experiments involving Bell inequalities demonstrate that when two entangled particles are distanced from each other, correlations in their physical observables can be measured. If classical explanations were valid, there would be a limit to these correlations, yet Bell's proofs showed that quantum mechanics exceeds this limit, with experimental validation emerging two decades later.
Our recent work introduced new Bell inequalities utilizing qutrits, a form of quantum state.
On Maximal Entanglement in High-Energy Physics
Our research delved into the fundamental theories of quantum electrodynamics, exploring interactions between light and matter that yield maximally entangled states. We reaffirmed known results through symmetry arguments and demonstrated that maximal entanglement is indeed a natural phenomenon.
On Spin Chains and Hyperdeterminant
Spin chains serve as models to understand magnetism at its core, with sophisticated chains explaining phenomena such as superconductivity. Quantum phase transitions, driven by quantum fluctuations rather than temperature, reveal critical points of entanglement that scale logarithmically with the size of the spin chains. We investigated these entanglements through the lens of hyperdeterminants, which quantify entanglements across various spins.
On Theory vs. Experiment
Conducting quantum experiments necessitates isolating quantum particles from their environment, a challenging task. While theoretical proposals abound, experimentalists must identify natural quantum systems that embody these theories.
On The Quantic Joint Effort
My former advisor, José Ignacio Latorre, collaborated with the Barcelona Supercomputing Center, where quantum researchers and high-performance computing resources converge to advance quantum algorithms.
On The Quantum Symphony
Alba likened quantum mechanics to a symphony, where quantum states correlate with musical notes. Each state can represent a tone, and their combinations form chords, illustrating superposition. The interplay of different quantum states produces a rich output in computations.
Different roles contribute to this quantum symphony: theoreticians compose the music while research centers and companies build the instruments.
On Winning IBM’s QISKIT Challenge
Alba recounted her experience simulating an Ising model on IBM's quantum computers, leading to her unexpected success in the QISKIT challenge. This achievement garnered attention in Spanish media, raising awareness of quantum computing.
On Quantum vs. Classical Physics
Entanglement is a uniquely quantum correlation absent in classical physics. High quantum correlation allows for the exploitation of properties in algorithms like Grover's Search and Shor’s Factorization, which offer exponential speedups over classical counterparts.
On Quantum Classifier
We examined the universal approximation theorem in quantum neural networks, proposing a minimal quantum model capable of functioning as a universal approximator. Each neuron in the classifier is represented by a quantum gate, allowing for data encoding and optimization.
Our findings indicate that a single qubit suffices for quantum classification tasks, demonstrating the potential of quantum neural networks to match classical capabilities.
On Being a Postdoctoral Fellow at The Matter Lab in the University of Toronto
Alba expressed enthusiasm for her role at the Matter Lab, a multidisciplinary group engaged in quantum computing, material discovery, and AI applications in chemistry and physics. Toronto's burgeoning quantum ecosystem supports numerous startups and collaborations.
On Creating The Meta-VQE Algorithm
This work falls under variational quantum algorithms, combining quantum and classical computations. By measuring quantum states and optimizing parameters through classical methods, the Meta-VQE aims to efficiently learn Hamiltonians, saving computational resources.
On Developing The Tequila Library
Tequila is a high-level unified library enabling users to translate their code into various quantum programming languages. It serves as a versatile platform, inviting contributions from collaborators to expand its backend capabilities.
On Quantum Calling
The quantum computing field presents numerous theoretical and experimental challenges, necessitating diverse expertise. Engineers, physicists, and material scientists are essential for device development, while theorists, mathematicians, and domain specialists contribute to algorithm advancement.
On Encouraging Science
Alba emphasized her commitment to inspiring the next generation of scientists, especially young women in STEM. Engaging in outreach helps simplify complex quantum concepts for broader audiences.
Timestamps
- (1:55) Alba shared her early interest in physics and quantum mechanics.
- (3:33) Discussion of her Bachelor's degree in Fundamental Physics from the University of Barcelona.
- (4:54) Overview of her M.S. degree in Particle Physics and Gravitation.
- (6:40) Insights into her Ph.D. journey starting in 2015 and her first publication.
- (9:48) Experiences as a visiting scholar at the University of Oxford and the University of Madrid.
- (11:25) Connection between maximal entanglement and fundamental symmetries.
- (13:27) Exploration of multipartite entanglement in spin chains.
- (18:56) The origin of Quantic, a collaboration between academic and computational institutions.
- (22:27) Analogy of quantum computing with a musical symphony.
- (27:47) Contribution to the Ising model simulation paper.
- (32:51) Winning the Teach Me QISKit challenge.
- (35:01) Designing quantum circuits for maximally entangled states.
- (38:54) Insights into the paper on universal quantum classifiers.
- (43:51) Understanding classical neural networks.
- (47:40) Experience as a postdoc at the Matter Lab.
- (52:18) Development of the Meta-Variational Quantum Eigensolver.
- (59:23) Introduction to the Tequila library for quantum algorithms.
- (01:04:49) Call for new contributions in quantum computing.
- (01:08:59) Advocacy for scientific engagement among youth.
- (01:12:07) Closing remarks.
Her Contact Info
- Website
- Google Scholar
- GitHub
Her Recommended Resources
- Ewin Tang (Ph.D. Student in Theoretical Computer Science at the University of Washington)
- Alán Aspuru-Guzik (Professor at the University of Toronto, Alba’s current supervisor)
- José Ignacio Latorre (Professor at the University of Barcelona, Alba’s former supervisor)
- Quantum Computation and Quantum Information (by Michael Nielsen and Isaac Chuang)
- Quantum Field Theory and The Standard Model (by Matthew Schwarz)
- The Structure of Scientific Revolutions (by Thomas Kuhn)
- Against Method (by Paul Feyerabend)
- Quantum Computing Since Democritus (by Scott Aaronson)
For updates on my work in Recommendation Systems, Deep Learning, MLOps, and Data Science Journalism, visit my Medium and GitHub, or explore my projects at https://jameskle.com/. Feel free to connect on Twitter, email me, or reach out on LinkedIn. Subscribe to my mailing list for the latest insights directly in your inbox!