|Meeting ID||945 7732 1297|
|Time||The regular time for the event is 4pm on Thursday afternoon. However, we will adapt to the time zone of the speaker if necessary.|
|Organizers||Ignacio Cirac (MPQ) and Kurt Mehlhorn (MPI-INF)|
Date and Time: September 15, 4pm
Speaker: Peter Shor, Department of Mathematics, MIT
Title: Quantum Money
Abstract: Quantum money is a cryptographic protocol where one party (the mint) can
prepare quantum states (each with a unique serial number) that can be
verified but not duplicated. We sketch our 2010 quantum money protocol
based on knot invariants and planar embeddings of knots, and sketch other
proposals for quantum money that have been made since then, including our
recent failed protocol.
|May 19, 4pm||Andris Ambainis|
|June 23, 4pm||NN|
|July 28, 4pm||Toby Cubitt|
|September 15, 4pm||Peter Shor|
|October 13, 4pm||Umesh Vazirani|
|November 17, 4pm||Barbara Terhal|
|December 8, 4pm||Harry Buhrmann|
|January 19, 4pm||Robert Koenig|
|February 16, 5pm||Adam Bouland|
|February 11, 5pm||Thomas Vidick (Caltech)||Testing quantum systems in the high-complexity regime|
|July 22, 4pm||Andrew Childs (Maryland)||Efficient quantum algorithm for dissipative nonlinear differential equations|
|September 16, 4pm||Matthias Christandl (Copenhagen)||Fault-tolerant Coding for Quantum Communication|
|October 28, 2pm||Renato Renner( ETH )||Optimal universal programming of unitary gates|
|November 18, 2pm||Ashley Montanaro (Phasecraft and University of Bristol)||Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer|
|December 16, 2pm||Aram Harrow (MIT)||Entanglement Spread in Communication Complexity and Many-Body Physics|
|February 17, 4pm||Stephanie Wehner (Delft)||Quantum Networks: From a Physics Experiment to a Quantum Network System|
Speaker: Toby Cubitt, Professor of Quantum Information, Department of Computer Science., University College London
Abstract: "Analogue" Hamiltonian simulation involves engineering a Hamiltonian of interest in the laboratory and studying its properties experimentally. Large-scale Hamiltonian simulation experiments have been carried out in optical lattices, ion traps and other systems for two decades. This is often touted as the most promising near-term application of quantum computing technology, as it is argued it does not require a scalable, fault-tolerant quantum computer.
Despite this, the theoretical basis for Hamiltonian simulation is surprisingly sparse. Even a precise definition of what it means to simulate a Hamiltonian was lacking. In my talk, I will explain how we put analogue Hamiltonian simulation on a rigorous theoretical footing, by drawing on techniques from Hamiltonian complexity theory in computer science, and Jordan and C* algebra results in mathematics.
I will then explain how this proved to be far more fruitful than a mere mathematical tidying-up exercise. It led to the discovery of universal quantum Hamiltonians [Science, 351:6 278, p.1180 (2016); Proc. Natl. Acad. Sci. 115:38 p.9497, (2018); J. Stat. Phys. 176:1 p228\u2013261 (2019); [[https://link.springer.com/article/10.1007/s00023-021-01111-7][Annales Henri Poincar?, 23 p.223 (2021)], later shown to have a deep connection back to quantum complexity theory [PRX Quantum 3:010308 (2022)]. The theory has also found applications in developing new and more efficient fermionic encodings for quantum computing [Phys. Rev. B 104:035118 (2021)], leading to dramatic reductions in the resource requirements for Hamiltonian simulation on near-term quantum computers [Nature Commun. 12:1, 4929 (2021)]. It has even found applications in quantum gravity, leading to the first toy models of AdS/CFT to encompass energy scales, dynamics, and (toy models of) black hole formation [J. High Energy Phys. 2019:17 (2019); J. High Energy Phys. 2022:52 (2022)].
Andris Ambainis: Quantum algorithms for search and optimization
Quantum algorithms are useful for a variety of problems in search and optimization. This line of work started with Grover's quantum search algorithm which achieved a quadratic speedup over naive exhaustive search but has now developed far beyond it.
In this talk, we describe three recent results in this area:
1. We show that, for any classical algorithm that uses a random walk to find an object with some property (by walking until the random walker reaches such an object), there is an almost quadratically faster quantum algorithm (https://arxiv.org/abs/1903.07493).
2. We show that the best known exponential time algorithms for solving several NP-complete problems (such as Travelling Salesman Problem or TSP) can be improved quantumly (https://arxiv.org/abs/1807.05209). For example, for the TSP, the best known classical algorithm needs time O(2^n) but our quantum algorithm solves the problem in time O(1.728...^n).
3. We show a almost quadratic quantum speedup for a number of geometric problems such as finding three points that are on the same line (https://arxiv.org/abs/2004.08949).
From carefully crafted quantum algorithms to information-theoretic security in cryptography, a quantum computer can achieve impressive feats with no classical analogue. Can their correct realization be verified? When the power of the device greatly surpasses that of the user, computationally as well as cryptographically, what means of control remain available to the user?
Recent lines of work in quantum cryptography and complexity develop approaches to this question based on the notion of an interactive proof. Generally speaking an interactive proof models any interaction whereby a powerful device aims to convince a restricted user of the validity of an agree-upon statementsuch as that the machine generates perfect random numbers or executes a specific quantum algorithm.
Two models have emerged in which large-scale verification has been shown possible: either by placing reasonable computational assumptions on the quantum device, or by requiring that it consists of isolated components across which Bell tests can be performed.
In the talk I will discuss recent results on the verification power of interactive proof systems between a quantum device and a classical user, focusing on the certification of quantum randomness from a single device (arXiv:1804.00640) and the verification of arbitrarily complex computations using two devices (arXiv:2001.04383).
Andrew Childs (University of Maryland): Efficient quantum algorithm for dissipative nonlinear differential equations.
While there has been extensive previous work on efficient quantum algorithms for linear differential equations, analogous progress for nonlinear differential equations has been severely limited due to the linearity of quantum mechanics. Despite this obstacle, we develop a quantum algorithm for initial value problems described by dissipative quadratic n-dimensional ordinary differential equations. Assuming R < 1, where R is a parameter characterizing the ratio of the nonlinearity to the linear dissipation, this algorithm has complexity T2 poly( log T, log n, log(1/ϵ) ) / ϵ, where T is the evolution time and ϵ is the allowed error in the output quantum state. This is an exponential improvement over the best previous quantum algorithms, whose complexity is exponential in T. We achieve this improvement using the method of Carleman linearization, for which we give a novel convergence theorem. This method maps a system of nonlinear differential equations to an infinite-dimensional system of linear differential equations, which we discretize, truncate, and solve using the forward Euler method and the quantum linear system algorithm. We also provide a lower bound on the worst-case complexity of quantum algorithms for general quadratic differential equations, showing that the problem is intractable for R ≥ sqrt( 2 ). Finally, we discuss potential applications of this approach to problems arising in biology as well as in fluid and plasma dynamics.
Based on joint work with Jin-Peng Liu, Herman Kolden, Hari Krovi, Nuno Loureiro, and Konstantina Trivisa.
Designing encoding and decoding circuits to reliably send messages over many uses of a noisy channel is a central problem in communication theory. When studying the optimal transmission rates achievable with asymptotically vanishing error it is usually assumed that these circuits can be implemented using noise-free gates. While this assumption is satisfied for classical machines in many scenarios, it is not expected to be satisfied in the near term future for quantum machines where decoherence leads to faults in the quantum gates. As a result, fundamental questions regarding the practical relevance of quantum channel coding remain open. By combining techniques from fault-tolerant quantum computation with techniques from quantum communication, we initiate the study of these questions. As our main result, we prove threshold theorems for quantum communication, i.e. we show that coding near the (standard noiseless) classical or quantum capacity is possible when the gate error is below a threshold.
The recording is from an earlier presentation by Matthias at Harvard.
The “No-Programming Theorem” asserts that perfect universal quantum processors cannot exist. These are hypothetical devices that execute a unitary gate that is choosable arbitrarily and itself provided as a (quantum) input. This impossibility result depends however strongly on the requirement that the processor makes no errors. In my talk, I will present a recent robust version of the No-Programming Theorem. It basically answers the following question: Given a bound on the maximum tolerated error, what is the minimum size of the program that implements a unitary gate on a universal processor? As I shall explain, the answer to this question has an interesting connection to the Heisenberg limit of quantum metrology.
The famous, yet unsolved, Fermi-Hubbard model for strongly-correlated electronic systems is a prominent target for quantum computers. However, accurately representing the Fermi-Hubbard ground state for large instances may be beyond the reach of near-term quantum hardware. In this talk I will discuss recent results showing experimentally that an efficient, low-depth variational quantum algorithm with few parameters can reproduce important qualitative features of medium-size instances of the Fermi-Hubbard model. We address 1x8 and 2x4 instances on 16 qubits on a superconducting quantum processor, substantially larger than previous work based on less scalable compression techniques, and going beyond the family of 1D Fermi-Hubbard instances, which are solvable classically. Consistent with predictions for the ground state, we observe the onset of the metal-insulator transition and Friedel oscillations in 1D, and antiferromagnetic order in both 1D and 2D. We use a variety of error-mitigation techniques, including symmetries of the Fermi-Hubbard model and a technique tailored to simulating fermionic systems. We also introduce a new variational optimisation algorithm based on iterative Bayesian updates of a local surrogate model. Our scalable approach is a first step to using near-term quantum computers to determine low-energy properties of strongly-correlated electronic systems that cannot be solved exactly by classical computers.
Aram Harrow (MIT)
Entanglement Spread in Communication Complexity and Many-Body Physics
Entanglement spread is an information-theoretic resource that (roughly) measures the gap between the highest and lowest Schmidt values of a pure bipartite quantum state. It turns out to characterize the communication cost needed to prepare the state starting from EPR pairs, as well as the cost of reflecting about the state. I will discuss the role of entanglement spread in two settings: communication complexity, and in the ground states of interacting quantum systems.
Based in part on work with Anurag Anshu, Matt Coudron and Mehdi Soleimanifar.
Stephanie Wehner (TU Delft)
Quantum Networks: From a Physics Experiment to a Quantum Network System (KM: The recording starts 2 minutes into the talk; I apologize.)
The internet has had a revolutionary impact on our world. The vision of a quantum internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on Earth. Such a quantum internet can —in synergy with the “classical” internet that we have today—connect quantum information processors in order to achieve unparalleled capabilities that are provably impossible by using only classical information.
At present, such technology is under development in physics labs around the globe, but no large-scale quantum network systems exist. We start by providing a gentle introduction to quantum networks for computer scientists, and briefly review the state of the art. We highlight some of the many open questions to computer science in the domain of quantum networking, illustrated with a very recent result realizing the first quantum link layer protocol on a programmable 3 node quantum network based on Nitrogen-Vacancy Centers in Diamond.
We close by providing a series of pointers to learn more, as well as tools to download that allow play with simulated quantum networks without leaving your home.