index.json

[{"authors":null,"categories":null,"content":"Quantum Scientist interested in accurate predictions for quantum many-body systems.\nI have explored Green\u0026rsquo;s function techniques for molecules, tensor network states for schematic hamiltonians, and coupled-cluster wave functions for strongly correlated hamiltonians.\nRecently, I have made the shift to quantum computing where I explore near-term applications in quantum chemistry and quantum machine learning.\n","date":-62135596800,"expirydate":-62135596800,"kind":"section","lang":"en","lastmod":-62135596800,"objectID":"55d4976ba11b13e2a844894f79f6e9d7","permalink":"https://mfdgroot.github.io/author/matthias/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/matthias/","section":"author","summary":"Quantum Scientist interested in accurate predictions for quantum many-body systems.\nI have explored Green\u0026rsquo;s function techniques for molecules, tensor network states for schematic hamiltonians, and coupled-cluster wave functions for strongly correlated hamiltonians.\nRecently, I have made the shift to quantum computing where I explore near-term applications in quantum chemistry and quantum machine learning.","tags":null,"title":"Matthias Degroote","type":"author"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1584482400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1584482400,"objectID":"cf914aa9faf7a729b939d83d83ca31f1","permalink":"https://mfdgroot.github.io/talk/dspe/","publishdate":"2020-03-23T10:00:00-04:00","relpermalink":"/talk/dspe/","section":"talk","summary":"I was supposed to give a live seminar in Fredericton to the Data Scince Practitioners East Meetup. Covid-19 decided otherwise and I gave my talk over Zoom. I presented work from our research group in quantum machine learning and gave some examples of more future-proof examples where quantum computing and data science meet.","tags":["quantum computing","quantum machine learning"],"title":"Quantum Computing and Data Science","type":"talk"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1571702400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1571702400,"objectID":"69982092de4647e681b5aa6c118afe20","permalink":"https://mfdgroot.github.io/talk/qtml/","publishdate":"2019-10-21T21:12:54-04:00","relpermalink":"/talk/qtml/","section":"talk","summary":"A talk about the quantum machine learning projects in the Aspuru-Guzik group. I focused on the chemical motivation of the projects. This culminates in a current research direction: detect quantum phases in the latent space of a quantum variational autoencoder.","tags":["quantum computing","quantum machine learning"],"title":"Inside the latent space of a quantum autoencoder","type":"talk"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1568550300,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1568550300,"objectID":"2caee2433ca11cf0fb4ffad407e88f4e","permalink":"https://mfdgroot.github.io/talk/cecam/","publishdate":"2019-09-01T12:11:52-04:00","relpermalink":"/talk/cecam/","section":"talk","summary":"I will be giving a lecture on quantum computing for quantum chemistry at the CECAM workshop in Tel Aviv.","tags":["quantum computing","quantum chemistry","NISQ"],"title":"Quantum Chemistry on Near-Term Quantum Devices","type":"talk"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1567099800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1567099800,"objectID":"8bafd9181052b9b807c74259bfb4e912","permalink":"https://mfdgroot.github.io/talk/cqiqc/","publishdate":"2019-08-29T12:01:44-04:00","relpermalink":"/talk/cqiqc/","section":"talk","summary":"I got the opportunity to fill in for a last minute cancellation at the CQIQC-VIII. I made an overview of the quantum machine learning topics that we are currently investigating.\n\nOptimization of parametrized circuits has proven very powerful for solving quantum chemistry problems on near-term quantum devices.\nSimilar ideas can be applied to transfer the classical machine learning toolbox into the quantum realm.\nI'll present our group's recent work on hybrid quantum algorithms for machine learning including the quantum variational autoencoder, the quantum generator and a proposal for a spiking quantum neuron.\n","tags":["quantum computing","quantum machine learning"],"title":"Near-term Algorithms for Quantum Machine Learning","type":"talk"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1565292600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1565292600,"objectID":"e6cab3b9a05817314cc69638f48459e3","permalink":"https://mfdgroot.github.io/talk/spikingneuron/","publishdate":"2019-08-08T00:00:00-04:00","relpermalink":"/talk/spikingneuron/","section":"talk","summary":"A group meeting talk about our recent preprint. Drawing links between neuromorphic neural networks and quantum neurons.","tags":["quantum computing","neuromorphic","Quantum Spiking Neuron","group meeting"],"title":"An Artificial Spiking Quantum Neuron","type":"talk"},{"authors":["Lasse Bjørn Kristensen","Matthias Degroote","Peter Wittek","Alán Aspuru-Guzik","Nikolaj T. Zinner"],"categories":null,"content":"","date":1563228000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1563228000,"objectID":"d8d94522bdd5995b131dc9e642741e04","permalink":"https://mfdgroot.github.io/publication/artificial-spiking-quantum-neuron/","publishdate":"2019-07-15T18:00:00-04:00","relpermalink":"/publication/artificial-spiking-quantum-neuron/","section":"publication","summary":"Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing. To improve their efficiency, spiking architectures often run on custom-designed neuromorphic hardware, but, despite their attractive properties, these implementations have been limited to digital systems. We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent local measurements. The architecture allows exploiting complex amplitudes and back-action from measurements to influence the input. This approach to learning protocols is advantageous in the case where the input and output of the system are both quantum states. We demonstrate this through the classification of Bell pairs which can be seen as a certification protocol. Stacking the introduced elementary building blocks into larger networks combines the spatiotemporal features of a spiking neural network with the non-local quantum correlations across the graph.\n","tags":["Quantum Computing","Quantum Machine Learning","Neuromorphic Networks"],"title":"An Artificial Quantum Spiking Neuron","type":"publication"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1556412193,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1556412193,"objectID":"69555cc2aee6a8173a7764adac32c4ee","permalink":"https://mfdgroot.github.io/talk/vbff/","publishdate":"2019-04-27T20:43:13-04:00","relpermalink":"/talk/vbff/","section":"talk","summary":"Short blitz talk of the progress of our group. The main focus will be the Quantum Generator research that was published last year by Jhonathan Romero.","tags":["quantum computing","gan","algorithm"],"title":"Vannevar Bush Faculty Fellowship Blitz Talk","type":"talk"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1552492800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1552492800,"objectID":"fa563b0c18f4e51b374e2856fd38ec75","permalink":"https://mfdgroot.github.io/talk/segal/","publishdate":"2019-03-13T12:00:00-04:00","relpermalink":"/talk/segal/","section":"talk","summary":"The talk will go over the review paper our group recently released. It will motivate the use of quantum computing in quantum chemistry and present the current state of the field.","tags":[],"title":"Segal group meeting","type":"talk"},{"authors":["Matthias Degroote"],"categories":null,"content":"","date":1550680199,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1550680199,"objectID":"b9b3bd9ac73fcf5f65eadd002261b012","permalink":"https://mfdgroot.github.io/talk/postdoc/","publishdate":"2019-02-20T11:29:59-05:00","relpermalink":"/talk/postdoc/","section":"talk","summary":"The talk will give an overview of quantum computing and its relevance to chemistry. It will try to go beyond the popular science introductions without getting lost in math and quantum mechanics.","tags":["quantum computing","postdocs","spc","seminar"],"title":"Postdoc seminar","type":"talk"},{"authors":["Yudong Cao","Jonathan Romero","Jonathan P. Olson","Matthias Degroote","Peter D. Johnson","Mária Kieferová","Ian D. Kivlichan","Tim Menke","Borja Peropadre","Nicolas P.D. Sawaya","Sukin Sim","Libor Veis","Alán Aspuru-Guzik"],"categories":null,"content":"","date":1546041049,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1546041049,"objectID":"306a2b046e02129c52a2026db5b703c6","permalink":"https://mfdgroot.github.io/publication/chemrev/","publishdate":"2018-12-28T18:50:49-05:00","relpermalink":"/publication/chemrev/","section":"publication","summary":"Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, the complexity of quantum mechanics remains hard to appease. The advent of quantum computation brings new pathways to navigate this challenging complexity landscape. By manipulating quantum states of matter and taking advantage of their unique features such as superposition and entanglement, quantum computers promise to efficiently deliver accurate results for many important problems in quantum chemistry such as the electronic structure of molecules. In the past two decades significant advances have been made in developing algorithms and physical hardware for quantum computing, heralding a revolution in simulation of quantum systems. This article is an overview of the algorithms and results that are relevant for quantum chemistry. The intended audience is both quantum chemists who seek to learn more about quantum computing, and quantum computing researchers who would like to explore applications in quantum chemistry.\n","tags":["Quantum Computing","Quantum Chemistry"],"title":"Quantum Chemistry in the Age of Quantum Computing","type":"publication"},{"authors":["Jacob M. Wahlen-Strothman","Thomas M. Henderson","Matthew R. Hermes","Matthias Degroote","Yiheng Qiu","Jinmo Zhao","Jorge Dukelsky","Gustavo E. Scuseria"],"categories":null,"content":"","date":1486481006,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1486481006,"objectID":"775b66b4ab8cbda66d747ff57420b919","permalink":"https://mfdgroot.github.io/publication/lipkin/","publishdate":"2017-02-07T10:23:26-05:00","relpermalink":"/publication/lipkin/","section":"publication","summary":"Coupled cluster and symmetry projected Hartree-Fock are two central paradigms in electronic structure theory. However, they are very different. Single reference coupled cluster is highly successful for treating weakly correlated systems but fails under strong correlation unless one sacrifices good quantum numbers and works with broken-symmetry wave functions, which is unphysical for finite systems. Symmetry projection is effective for the treatment of strong correlation at the mean-field level through multireference non-orthogonal configuration interaction wavefunctions, but unlike coupled cluster, it is neither size extensive nor ideal for treating dynamic correlation. We here examine different scenarios for merging these two dissimilar theories. We carry out this exercise over the integrable Lipkin model Hamiltonian, which despite its simplicity, encompasses non-trivial physics for degenerate systems and can be solved via diagonalization for a very large number of particles. We show how symmetry projection and coupled cluster doubles individually fail in different correlation limits, whereas models that merge these two theories are highly successful over the entire phase diagram. Despite the simplicity of the Lipkin Hamiltonian, the lessons learned in this work will be useful for building an ab initio symmetry projected coupled cluster theory that we expect to be accurate in the weakly and strongly correlated limits, as well as the recoupling regime.\n","tags":["Lipkin","Symmetry breaking and restoration"],"title":"Merging symmetry projection methods with coupled cluster theory: Lessons from the Lipkin model Hamiltonian","type":"publication"}]