136 citations · 965 across the 25 of their papers we have counts for
26 papers
Efficient Long-Range Entanglement using Dynamic Circuits
Elisa Bäumer, Vinay Tripathi, Derek S. Wang +5
Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency constraints on the generation of intricate entangled states. In principle, these limitat…
Uncovering Local Integrability in Quantum Many-Body Dynamics
Oles Shtanko, Derek S. Wang, Haimeng Zhang +4
Interacting many-body quantum systems and their dynamics, while fundamental to modern science and technology, are formidable to simulate and understand. However, by discovering the…
Perspectives on adaptive dynamical systems
Jakub Sawicki, Rico Berner, Sarah A. M. Loos +21
Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems like the powe…
Random Pulse Sequences for Qubit Noise Spectroscopy
Kaixin Huang, Demitry Farfurnik, Alireza Seif +2
Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for noise spectroscopy are time-consuming…
Simple master equations for describing driven systems subject to classical non-Markovian noise
Peter Groszkowski, Alireza Seif, Jens Koch +1
Driven quantum systems subject to non-Markovian noise are typically difficult to model even if the noise is classical. We present a systematic method based on generalized cumulant…
The learnability of Pauli noise
Senrui Chen, Yunchao Liu, Matthew Otten +3
Recently, several quantum benchmarking algorithms have been developed to characterize noisy quantum gates on today's quantum devices. A well-known issue in benchmarking is that not…
The impact of memory on learning sequence-to-sequence tasks
Alireza Seif, Sarah A. M. Loos, Gennaro Tucci +2
The recent success of neural networks in natural language processing has drawn renewed attention to learning sequence-to-sequence (seq2seq) tasks. While there exists a rich literat…
Distributed quantum error correction for chip-level catastrophic errors
Qian Xu, Alireza Seif, Haoxiong Yan +5
Quantum error correction holds the key to scaling up quantum computers. Cosmic ray events severely impact the operation of a quantum computer by causing chip-level catastrophic err…
Tailored XZZX codes for biased noise
Qian Xu, Nam Mannucci, Alireza Seif +3
Quantum error correction (QEC) for generic errors is challenging due to the demanding threshold and resource requirements. Interestingly, when physical noise is biased, we can tail…
Shadow Distillation: Quantum Error Mitigation with Classical Shadows for Near-Term Quantum Processors
Alireza Seif, Ze-Pei Cian, Sisi Zhou +2
Mitigating errors in quantum information processing devices is especially important in the absence of fault tolerance. An effective method in suppressing state-preparation errors i…
Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization
Ali Rad, Alireza Seif, Norbert M. Linke
Variational quantum-classical hybrid algorithms are seen as a promising strategy for solving practical problems on quantum computers in the near term. While this approach reduces t…
Discovering hydrodynamic equations of many-body quantum systems
Yaroslav Kharkov, Oles Shtanko, Alireza Seif +4
Simulating and predicting dynamics of quantum many-body systems is extremely challenging, even for state-of-the-art computational methods, due to the spread of entanglement across…
Distinguishing between quantum and classical Markovian dephasing dissipation
Alireza Seif, Yu-Xin Wang, Aashish A. Clerk
Understanding whether dissipation in an open quantum system is truly quantum is a question of both fundamental and practical interest. We consider n qubits subject to correlated Ma…
Engineering an Effective Three-spin Hamiltonian in Trapped-ion Systems for Applications in Quantum Simulation
Bárbara Andrade, Zohreh Davoudi, Tobias Graß +3
Trapped-ion quantum simulators, in analog and digital modes, are considered a primary candidate to achieve quantum advantage in quantum simulation and quantum computation. The unde…
Quantum advantages for Pauli channel estimation
Senrui Chen, Sisi Zhou, Alireza Seif +1
We show that entangled measurements provide an exponential advantage in sample complexity for Pauli channel estimation, which is both a fundamental problem and a practically import…
Decoding conformal field theories: from supervised to unsupervised learning
En-Jui Kuo, Alireza Seif, Rex Lundgren +2
We use machine learning to classify rational two-dimensional conformal field theories. We first use the energy spectra of these minimal models to train a supervised learning algori…
Compressed Sensing Measurement of Long-Range Correlated Noise
Alireza Seif, Mohammad Hafezi, Yi-Kai Liu
Long-range correlated errors can severely impact the performance of NISQ (noisy intermediate-scale quantum) devices, and fault-tolerant quantum computation. Characterizing these er…
Meta Hamiltonian Learning
Przemyslaw Bienias, Alireza Seif, Mohammad Hafezi
Efficient characterization of quantum devices is a significant challenge critical for the development of large scale quantum computers. We consider an experimentally motivated situ…
Entanglement entropy scaling transition under competing monitoring protocols
Mathias Van Regemortel, Ze-Pei Cian, Alireza Seif +2
Dissipation generally leads to the decoherence of a quantum state. In contrast, numerous recent proposals have illustrated that dissipation can also be tailored to stabilize many-b…
Optimal control for quantum detectors
Paraj Titum, Kevin M. Schultz, Alireza Seif +2
Quantum systems are promising candidates for sensing of weak signals as they can provide unrivaled performance when estimating parameters of external fields. However, when trying t…
Machine learning the thermodynamic arrow of time
Alireza Seif, Mohammad Hafezi, Christopher Jarzynski
The mechanism by which thermodynamics sets the direction of time's arrow has long fascinated scientists. Here, we show that a machine learning algorithm can learn to discern the di…
Towards analog quantum simulations of lattice gauge theories with trapped ions
Zohreh Davoudi, Mohammad Hafezi, Christopher Monroe +3
Gauge field theories play a central role in modern physics and are at the heart of the Standard Model of elementary particles and interactions. Despite significant progress in appl…
Photon pair condensation by engineered dissipation
Ze-Pei Cian, Guanyu Zhu, Su-Kuan Chu +4
Dissipation can usually induce detrimental decoherence in a quantum system. However, engineered dissipation can be used to prepare and stabilize coherent quantum many-body states.…
Machine learning assisted readout of trapped-ion qubits
Alireza Seif, Kevin A. Landsman, Norbert M. Linke +3
We reduce measurement errors in a quantum computer using machine learning techniques. We exploit a simple yet versatile neural network to classify multi-qubit quantum states, which…