People: Paola Cappellaro

Professor of Nuclear Science and Engineering

Biography:

Ph.D., Nuclear Science and Engineering, Massachusetts Institute of Technology, 2006
M.S., Applied Physics, École Centrale Paris, 2000
B.S/M.S., Nuclear Engineering, Politecnico di Milano, 2000

Publications
  1. A. Ungar, P. Cappellaro, A. Cooper, W. Sun, Control of an Environmental Spin Defect beyond the Coherence Limit of a Central Spin. PRX Quantum February 2024.
  2. P. Peng, P. Cappellaro, B. Ye, and N. Yao. Exploiting disorder to probe spin and energy hydrodynamics. Nature Physics 2023.
  3. A. Stasiuk, P. Cappellaro, Observation of a Prethermal U(1) Discrete Time Crystal. Phys Rev X, 13(041016), October 2023.
  4. G. Wang, P. Cappellaro, Haowei Xu, Changhao Li, Hua Wang, Hao Tang, Ariel Rebehak Barr, and Ju Li. Two-Photon Interface of Nuclear Spins Based on the Optonuclear Quadrupolar Effect. Phys Rev X, 13(011017), February 2023.
  5. M. Chen, C. Li, P. Cappellaro, G. Palumbo, Y.-Q. Zhu, and N. Goldman. A synthetic monopole source of Kalb-Ramond field in diamond. Science, 375(6584):1017-1020, March 2022.
  6. G. Wang, M. Chen, C. Li, P. Cappellaro, A. R. Barr, H. Xu, and J. Li. Characterizing temperature and strain variations with qubit ensembles for their robust coherence protection. ARxiv 2022.
  7. W. Sun, P. Cappellaro, Self-consistent noise characterization of quantum devices. Phys Rev B, 106(155413), 2022.
  8. P. Peng, P. Cappellaro, X. Huang, C. Yin, L. Joseph, and C. Ramanathan . Deep reinforcement learning for quantum Hamiltonian engineering. ArXiv 2021.
  9. P. Peng, P. Cappellaro, C. Yin, X. Huang, and C. Ramanathan. Observation of Floquet prethermalization in dipolar spin chains. Nat. Phys. 2021.
  10. G. Wang, C. Li, P. Cappellaro, Observation of symmetry-protected selection rules in periodically driven quantum systems. Phys. Rev. Lett., 127(140604), September 2021.
  11. P. Peng, P. Cappellaro, C. Yin, X. Huang, and C. Ramanathan. Prethermal quasiconserved observables in Floquet quantum systems. Physics Rev B, 103(054305), 2021.
  12. C. Li, Y.-X. Liu, P. Cappellaro, and T. Li. Effective routing design for remote entanglement generation on quantum networks. ArXiv 2020.
  13. D. Layden, M. Chen, P. Cappellaro, Efficient Quantum Error Correction of Dephasing Induced by a Common Fluctuator. Phys. Rev. Lett., 124(020504), 2020.
  14. P. Cappellaro, S. Hernández-Gómez, S. Gherardini, F. Poggiali, F. S. Cataliotti, A. Trombettoni, and N. Fabbri. Experimental test of exchange fluctuation relations in an open quantum system. Phys. Rev. Research, 2(023327), 2020.
  15. Y.-X. Liu, Z. Li, A. Ajoy, P. Cappellaro, and J. Hines. High-fidelity Trotter formulas for digital quantum simulation. Phys Rev A, 102(010601), 2020.
  16. A. Cooper, W. Sun, J-C. Jaskula, P. Cappellaro, Identification and Control of Electron-Nuclear Spin Defects in Diamond. Phys. Rev. Lett., 124(083602), 2020.
  17. P. Cappellaro, C. M. Sánchez, A. K. Chattah, K. X. Wei, L. Buljubasich, and H. M. Pastawski. Perturbation Independent Decay of the Loschmidt Echo in a Many-Body System. Phys. Rev. Lett., 124(030601), 2020.
  18. A. Sone, Y.-X. Liu, P. Cappellaro, Quantum Jarzynski equality in open quantum systems from the one-time measurement scheme. Phys. Rev. Lett., 125(060602), August 2020.
  19. H. Zhou, J. Choi, S. Choi, R. Landig, P. Cappellaro, H. Knowles, H. Park, M. Lukin, A. Douglas, J. Isoya, F. Jelezko, S. Onoda, and H. Sumiya. Quantum Metrology with Strongly Interacting Spin Systems. Phys. Rev. X, 10(031003), 2020.
  20. M. Chen, Y.-X. Liu, D. Layden, P. Cappellaro, and Genyue Liu. Repetitive readout enhanced by machine learning. Machine Learning: Science and Technology, 1(1), 2020.
  21. D. Layden, P. Cappellaro, and L. R. Huang. Robustness-optimized quantum error correction. IOP Science 2020.
  22. K. Xuan Wei, P. Cappellaro, C. Sanchez, A. Cattah, L. Buljubasich, and H. Pastawski. Emergent perturbation independent decay of the Loschmidt echo in a many-spin system studied through scaled dipolar dynamics. ArXiv February 2019.
  23. K. Xuan Wei, P. Peng, P. Cappellaro, O. Shtanko, I. Marvian, S. Lloyd, and C. Ramanathan. Emergent prethermalization signatures in out-of-time ordered correlations. Phys. Rev. Lett., 123(090605), 2019.
  24. A. Cooper, W. Sun, J-C. Jaskula, P. Cappellaro, Environment-assisted Quantum-enhanced Sensing with Electronic Spins in Diamond. Phys. Rev. Applied , 12(044047), 2019.
  25. Y. Liu, A. Ajoy, P. Cappellaro, and J. Hines. Quantum Interpolation for digital quantum simulation. ArXiv March 2019.
  26. A. Ajoy, U. Bissbort, P. Cappellaro, and D. Poletti. Selective decoupling and Hamiltonian engineering in dipolar spin networks. Phys. Rev. Lett, 122(013205), 2019.
  27. L. Marseglia, K. Saha, A. Ajoy, D. Englund, P. Cappellaro, T. Schröder, F. Jelezko, R. Walsworth, J. L. Pacheco, D. L. Perry, and E. S. Bielejec. Bright nanowire single photon source based on SiV centers in diamond. Optics Express, 26:80-89, 2018.
  28. P. Peng, Z. Li, K. Xuan Wei, P. Cappellaro, and H. Yan. Comparing many-body localization lengths via non-perturbative construction of local integrals of motion. Phys. Rev. B, 100(214203), December 2018.
  29. K. Xuan Wei, P. Cappellaro, and C. Ramanathan . Exploring Localization in Nuclear Spin Chains. Phys. Rev. Lett. , 070501, 2018.
  30. P. Cappellaro, S. Hernández-Góme, F. Poggiali, and N. Fabbri. Noise spectroscopy of a quantum-classical environment with a diamond qubit. Phys Rev. B, 98(214307), December 2018.
  31. M. Chen, W. Sun, K. Saha, J-C. Jaskula, P. Cappellaro, Protecting solid-state spins from strongly coupled environment. ArXiv 2018.
  32. A. Sone, P. Cappellaro, and Q. Zhuang . Quantifying precision loss in local quantum thermometry via diagonal discord. ArXiv 2018.
  33. M. Hirose, P. Cappellaro, Time-optimal control with finite bandwidth. Quantum Information Processing, 17(88), 2018.
  34. D. Layden, P. Cappellaro, Error-corrected quantum sensing with parallel signal and noise. ArXiv 2017.
  35. A. Sone, P. Cappellaro, Hamiltonian identifiability assisted by a single-probe measurement. Phys. Rev. A, 95(022335), February 2017.
  36. A. Ajoy, Y.-X. Liu, K. Saha, L. Marseglia, J-C. Jaskula, U. Bissbort, P. Cappellaro, Quantum interpolation for high-resolution sensing. Proc. Nat. Acad. Sc., 114(9), February 2017.
  37. P. Cappellaro, C. L. Degen, and F. Reinhard . Quantum sensing. Rev. Mod. Phys., 89(035002), 2017.
  38. A. Ajoy, Y.-X. Liu, P. Cappellaro, DC Magnetometry at the T2 Limit.
  39. K. Xuan Wei, P. Cappellaro, and C. Ramanathan. Exploring Localization in Nuclear Spin Chains.
  40. I. Lovchinsky, A. Sushkov, E. Urbach, P. Cappellaro, H. Park, M. Lukin, L.M. Pham, S.J. DeVience, F. Casola, E. Bersin, A. Yacoby, R.L. Walsworth, and J. Lee. NMR Technique for Determining the Depth of Shallow Nitrogen-Vacancy Centers in Diamond. Phys. Rev. B, 93:045425, 2016.
  41. M. Hirose and P. Cappellaro. Measurement of transverse hyperfine interaction by forbidden transitions. Phys. Rev. B, 1503:08858, 2015.
  42. C. Aiello and P. Cappellaro. Time-optimal control by a quantum actuator. Phys. Rev A, 91, 2015.
  43. C. Aiello, P. Cappellaro, M. Allegra, and X. Wang. Algebraic synthesis of time-optimal unitaries in SU (2) with alternating controls. arXiv, 1410:5641, 2014.
  44. C. Aiello and P. Cappellaro. The NV center as a quantum actuator: time-optimal control of nuclear spins. arXiv, 1410:5641, 2014.
  45. C. Aiello and P. Cappellaro. Time-optimal control by a quantum actuator. Physical Review, A 91:042340, 2014.
  46. P. Cappellaro, C. Belthangady, L.M. Pham, K. Arai, D. Le Sage, and R.L. Walsworth. Dressed-State Resonant Coupling between Bright and Dark Spins in Diamond. Phys. Rev. Lett, 110:157601, 2013.
  47. E. Magesan and P. Cappellaro. Experimentally efficient methods for estimating the performance of quantum measurements. ArXiv:1301.5037 2013.
News
Fri February 9, 2024

Technique could improve the sensitivity of quantum sensing devices

In quantum sensing, atomic-scale quantum systems are used to measure electromagnetic fields, as well as properties like rotation, acceleration, and distance, far more precisely than classical sensors can. The technology could enable devices that image the brain with unprecedented detail, for example, or air traffic control systems with precise positioning accuracy.    
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Thu October 19, 2023

Harvard-MIT CUA Receives Major Renewal Grant

The U.S. National Science Foundation’s Physics Frontiers Centers program renewed a grant to the MIT-Harvard Center for Ultracold Atoms (CUA) to fund exploring, understanding, and harnessing mysterious phenomena at the frontiers of physics. The CUA, which works to enable greater control and programmability of quantum-entangled systems of low-temperature atoms and molecules, will conduct experiments involving...
Wed February 15, 2023

Engineers discover a new way to control atomic nuclei as “qubits”

In principle, quantum-based devices such as computers and sensors could vastly outperform conventional digital technologies for carrying out many complex tasks. But developing such devices in practice has been a challenging problem despite great investments by tech companies as well as academic and government labs. Today’s biggest quantum computers still only have a few hundred...
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Mon November 21, 2022

Mining valuable insights from diamonds

If Changhao Li were to trace the origins of his love of nature, he would point to the time when he was 9, observing the night sky from his childhood home in the small town of Jinan, China. “At that moment I felt that nature is so beautiful, I just wanted to go outside the...
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Mon November 21, 2022

Changhao Li Wins 2022 Peake Prize Award

Cappellaro Group member Changhao Li wins 2022 Peake Prize.
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Sun November 20, 2022

Communication-efficient quantum algorithm for distributed machine learning

Distributed machine learning has attracted great attention as a method to deal with large-scale or distributed data. In distributed machine learning, the required communication between different machines quantified by communication complexity is one of the critical factors in determining an algorithm’s performance. Therefore, developing communication-efficient algorithms is important for distributed machine learning applications when the...
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Sun November 20, 2022

Quantum sensor can detect arbitrary frequency electromagnetic signals

Quantum sensing is essential in tasks ranging from characterization of quantum devices, to exploration of magnetism in condensed matter, to imaging of microwave structures. Current quantum sensors have achieved excellent performance combining high sensitivity with spatial resolution. However, the frequency range of the signal fields that can be measured is still limited to either a...
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Mon December 20, 2021

Sensor based on quantum physics could detect SARS-CoV-2 virus

A novel approach to testing for the presence of the virus that causes Covid-19 may lead to tests that are faster, less expensive, and potentially less prone to erroneous results than existing detection methods. Though the work, based on quantum effects, is still theoretical, these detectors could potentially be adapted to detect virtually any virus,...
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Wed December 15, 2021

Yi-Xiang Lu wins 2020-2021 De Favero Thesis Prize

Cappellaro Group member Yi-Xiang Lu wins 2020-2021 De Favero Thesis Prize.
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Fri May 1, 2020

Committed to Caring Award, Paola Cappellaro

Quantum scientist Paola Cappellaro works to ensure students are at their “best state, and moving towards one better,” according to student nominators. Cappellaro effectively navigates the balance between attending closely to students’ needs while also giving them space to explore. Paola Cappellaro is a Professor of Nuclear Science and Engineering. She leads the Quantum Engineering...
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Thu March 5, 2020

Novel method for easier scaling of quantum devices

System “recruits” defects that usually cause disruptions, using them to instead carry out quantum operations.

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Thu February 20, 2020

Correcting the “jitters” in quantum devices

David L. Chandler | MIT News Office February 18, 2020 Labs around the world are racing to develop new computing and sensing devices that operate on the principles of quantum mechanics and could offer dramatic advantages over their classical counterparts. But these technologies still face several challenges, and one of the most significant is how...
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Wed March 13, 2019

Quantum sensing method measures minuscule magnetic fields

MIT researchers find a new way to make nanoscale measurements of fields, including information about their direction.

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Tue September 25, 2018

Honing quantum sensing

PhD student David Layden in the Quantum Engineering Group has a new approach to spatial noise filtering that boosts development of ultra-sensitive quantum sensors. New research from MIT’s interdisciplinary Quantum Engineering Group (QEG) is addressing one of the fundamental challenges facing these quantum sensor systems: removing environmental noise from the signal being measured. “The usual...
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Thu March 8, 2018

Scientists gain new visibility into quantum information transfer

Advance holds promise for “wiring” of quantum computers and other systems, and opens new avenues for understanding basic workings of the quantum realm.

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Wed February 15, 2017

High-res biomolecule imaging

Technique could provide unique views of single molecules that conventional methods can’t match.

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Wed February 15, 2012

Paola Cappellaro wins AFOSR Young Investigator Award

A research collaboration including CUA investigators at Harvard.
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Past Events
Tue February 7, 2017 6:00 pm

Paola Cappellaro presents at Soap Box Series at the MIT Museum

Location:MIT Museum
Paola Cappellaro, Massachusetts Institute of Technology

Paola Cappellaro co-presented the panel talk “Quantum Computers and Philosophy of Science” at the MIT Museum, as a part of their Soap Box Series on Quantum Quandaries and other Heavy Matters.

Sun March 1, 2020 12:00 am
Paola Cappellaro, Massachusetts Institute of Technology
Professor Paola Cappellaro has taken part in the Nuclear Science and Engineering “Winter School” aimed at underrepresented junior undergraduates that are contemplating graduate school. The goal of this newly started program is to increase the diversity in the graduate student population of the Nuclear Science and Engineering Department at MIT. In addition, as admission chair,...
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