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Computational Capacity of the Universe
Open accessAbstract
All physical systems register and process information. The laws of physics determine the amount of information that a physical system can register (number of bits) and the number of elementary logic operations that a system can perform (number of ops). The Universe is a physical system. The amount of information that the Universe can register and the number of elementary operations that it can have performed over its history are calculated. The Universe can have performed ${10}^{120}\phantom{\rule{0ex}{0ex}}\mathrm{ops}$ on ${10}^{90}\phantom{\rule{0ex}{0ex}}\mathrm{bits}$ ( ${10}^{120}\phantom{\rule{0ex}{0ex}}\mathrm{bits}$ including gravitational degrees of freedom).
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“We consider Hamiltonians that can be written as a polynomial number of terms, with respect to the system size.”
From A variational eigenvalue solver on a photonic quantum processor (2014) · cites this paper as [20]
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“This class of Hamiltonians encompasses a wide range of physical systems, including the electronic structure Hamiltonian of quantum chemistry, the quantum Ising Model, the Heisenberg Model2021, matrices that are well approximated as a sum of n-fold tensor products2223, and more generally any k-sparse Hamiltonian without evident tensor product structure”
From A variational eigenvalue solver on a photonic quantum processor (2014) · cites this paper as [20]
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“According to Uhlmann's theorem [18], the square root of the fidelity is given by”
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Cites
Susskind, L. (1995) · Journal of Mathematical Physics · doi:10.1063/1.531249 · Cited by 4,085
Lloyd, S. (1996) · Science · doi:10.1126/science.273.5278.1073 · Cited by 3,088
Self-citationPrinciples of physical cosmology
(1993) · Choice Reviews Online · doi:10.5860/choice.31-1499 · Cited by 2,908
M theory as a matrix model: A conjecture
Banks, T., Fischler, W., Shenker, S. H., & Susskind, L. (1997) · Physical Review D · doi:10.1103/physrevd.55.5112 · Cited by 2,748
Quantum Theory: Concepts and Methods
Peres, A., & Ballentine, L. E. (1995) · American Journal of Physics · doi:10.1119/1.17946 · Cited by 2,561
Proceedings of the 56th Annual ACM Symposium on Theory of Computing
(2024) · doi:10.1145/3618260 · Cited by 1,843
Particle Physics and Inflationary Cosmology
Linde, A. D. (1987) · Physics Today · doi:10.1063/1.881088 · Cited by 1,805
Demonstration of a Fundamental Quantum Logic Gate
Monroe, C., Meekhof, D. M., King, B. E., Itano, W. M., & Wineland, D. J. (1995) · Physical Review Letters · doi:10.1103/physrevlett.75.4714 · Cited by 1,586
Bulk Spin-Resonance Quantum Computation
Gershenfeld, N. A., & Chuang, I. L. (1997) · Science · doi:10.1126/science.275.5298.350 · Cited by 1,528
Particle Physics and Inflationary Cosmology
Linder, C. (1990) · CRC Press eBooks · doi:10.1201/b16971 · Cited by 1,477
Flagged first, then by citations
Research works printed but not linked: 3
- N. Margolus, 1996, PhysComp96, Proceedings of the Fourth Workshop on Physics and Computation,
- N. Margolus, 1998, Physica (Amsterdam), 120D, 188
- D. G. Cory, PhysComp96, Proceedings of the Fourth Workshop on Physics and Computation
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Metadata
- Authors
- Lloyd, S.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Lloyd, Seth
- ORCID
- Lloyd, Seth
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2002-05-24
- Volume
- 88
- Issue
- 23
- Pages
- 237901-237901
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1993466133
- Cited by
- 571
- References
- 35
- Citations by year
- 2026: 39 · 2025: 32 · 2024: 39 · 2023: 36 · 2022: 17 · 2021: 27 · 2020: 23 · 2019: 40 · 2018: 27 · 2017: 24 · 2016: 29 · 2015: 27 · 2014: 13 · 2013: 30 · 2012: 16
- FWCI
- 8.07
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Physical Review Letters (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Black Holes and Theoretical Physics
- Keywords
- gravitational degrees of freedom
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