Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Jens Eisert
Hardware-tailored logical Clifford circuits for stabilizer codes
Abstract Quantum error correction is the art of protecting fragile quantum information through suitable encoding and active interventions. However, it is notoriously difficult to manipulate encoded quantum data without causing uncorrectable errors. Here, we introduce a mathematical framework for constructing hardware-tailored circuits that implement any desired Clifford unitary on the logical level of any given stabilizer code.
[2609.39874] Parallel algebraic surgery for qLDPC codes with constant shuttling depth
Reconfigurable atom arrays provide a promising platform for high-rate quantum low-density parity-check codes, but their computational advantage depends on whether logical operations can be implemented without incurring prohibitive shuttling and space overheads. We introduce algebraic surgery for lifted product codes, co-designing the logical measurements, auxiliary codes, and atom shuttling to enable hardware-efficient Pauli-product measurements.
[2609.37231] Ultra-high-distance quantum memories from amplified qLDPC codes
A large code distance does not by itself guarantee a well-protected quantum memory, as faults during syndrome extraction can propagate into correlated data errors. Certifying circuit distance becomes demanding as circuits grow. In this work, we introduce distance amplifiers, a modular approach to increasing both code distance and certified circuit-level protection in quantum low-density parity-check codes.
Jens Eisert: Was uns das Quanteninternet bringt
Wir leben in einer zunehmend unsicheren Welt. Vor nicht allzu langer Zeit schien es noch vielen selbstverständlich, dass Wohlstand wachsen würde, politische Systeme sich stabilisieren und internationale Konflikte an Bedeutung verlieren würden. Heute stehen wir vor neuen Herausforderungen – und Sicherheit spielt dabei eine neue Rolle. Das gilt auch und gerade für Information. Staaten und Unternehmen müssen Informationen davor schützen, in die Hände der Falschen zu geraten.
Marsmission der Physik: Wie das Quanteninternet unsere künftige Kommunikation revolutioniert
Wir leben in einer zunehmend unsicheren Welt. Vor nicht allzu langer Zeit schien es noch vielen selbstverständlich, dass Wohlstand wachsen würde, politische Systeme sich stabilisieren und internationale Konflikte an Bedeutung verlieren würden. Heute stehen wir vor neuen Herausforderungen – und Sicherheit spielt dabei eine neue Rolle. Das gilt auch und gerade für Information. Staaten und Unternehmen müssen Informationen davor schützen, in die Hände der Falschen zu geraten.
Artificial intelligence for representing and characterizing quantum systems
Abstract Efficient characterization of large-scale quantum systems, especially those produced by quantum analog simulators and megaquop quantum computers, poses a central challenge in quantum science owing to the exponential scaling of the Hilbert space with respect to system size. Recent advances in artificial intelligence (AI), with its aptitude for high-dimensional pattern recognition and function approximation, have emerged as a powerful tool to address this challenge.
Noise-induced shallow circuits and the absence of barren plateaus
Abstract Without a successful implementation of fault-tolerant quantum error correction, calculations on quantum computers are subject to noise that limits their capabilities. Here, motivated by realistic near-term hardware considerations, we study the impact of uncorrected local noise on logical quantum circuits. We first show that, in the task of estimating observable expectation values, any noise effectively truncates most quantum circuits to logarithmic depth.
[2601.16974] An operational continuum limit of quantum combs
[Submitted on 23 Jan 2026 (v1), last revised 1 Oct 2026 (this version, v3)] View PDF HTML (experimental) Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2601.16974 [quant-ph] (or arXiv:2601.16974v3 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.16974
[2512.15661] Prospects for quantum advantage in machine learning from the representability of functions
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Large-scale stochastic simulation of open quantum systems - Nature Communications
Abstract Understanding interactions between quantum systems and their environments is crucial for developing stable quantum technologies and accurate physical models. Yet, simulating open quantum systems with non-unitary dynamics remains computationally demanding. We introduce the tensor jump method (TJM), a scalable and embarrassingly parallel algorithm for stochastically simulating large-scale open quantum systems governed by Lindbladians.
Learning quantum states of continuous-variable systems
1 day ago If we can fill in the gaps with dark matter, that is. Here’s what you’ll learn when you read this story: A new mathematical model of a wormhole suggests that two black holes can be “cut and pasted.” • Cut and paste is an official concept in math, referring to two surfaces that may be transposable. • In …
Learning quantum states of continuous-variable systems - Nature Physics
Abstract Quantum measurements are probabilistic and, in general, provide only partial information about the underlying quantum state. Obtaining a full classical description of an unknown quantum state requires the analysis of several different measurements, a task known as quantum-state tomography. Here we analyse the ultimate achievable performance in the tomography of continuous-variable systems, such as bosonic and quantum optical systems.
Tomography of Parametrized Quantum States
Quantum technologies hold exciting potential, from ultraprecise sensors to quantum computers that could solve problems beyond the reach of classical machines. A key step in making these technologies practical is being able to accurately “see” what is happening inside a quantum system. This process, known as quantum state tomography, involves taking measurements to reconstruct a quantum system’s state. Traditionally, this has been done for states that are fixed or unchanging.
Hardware-tailored diagonalization circuits - npj Quantum Information
Abstract A central building block of many quantum algorithms is the diagonalization of Pauli operators. Although it is always possible to construct a quantum circuit that simultaneously diagonalizes a given set of commuting Pauli operators, only resource-efficient circuits can be executed reliably on near-term quantum computers. Generic diagonalization circuits, in contrast, often lead to an unaffordable SWAP gate overhead on quantum devices with limited hardware connectivity.
Robustly learning the Hamiltonian dynamics of a superconducting quantum processor - Nature Communications
Abstract Precise means of characterizing analog quantum simulators are key to developing quantum simulators capable of beyond-classical computations. Here, we precisely estimate the free Hamiltonian parameters of a superconducting-qubit analog quantum simulator from measured time-series data on up to 14 qubits.
Generalized Linear Response Theory for the Full Quantum Work Statistics
We consider a quantum system driven out of equilibrium via a small Hamiltonian perturbation. Building on the paradigmatic framework of linear response theory (LRT), we derive an expression for the full generating function of the dissipated work.
[2406.04250] Online learning of quantum processes
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Semi-Device-Independently Characterizing Quantum Temporal Correlations
We develop a framework for characterizing quantum temporal correlations in a general temporal scenario, in which an initial quantum state is measured, sent through a quantum channel, and finally measured again. This framework does not make any assumptions on the system nor on the measurements, namely, it is device independent. It is versatile enough, however, to allow for the addition of further constraints in a semi-device-independent setting.
Analog Information Decoding of Bosonic Quantum Low-Density Parity-Check Codes
Popular Summary The current generation of qubit technologies are noisy, and large-scale quantum computers will need to be made fault tolerant through the use of quantum error correction.
Understanding quantum machine learning also requires rethinking generalization - Nature Communications
Abstract Quantum machine learning models have shown successful generalization performance even when trained with few data. In this work, through systematic randomization experiments, we show that traditional approaches to understanding generalization fail to explain the behavior of such quantum models. Our experiments reveal that state-of-the-art quantum neural networks accurately fit random states and random labeling of training data.
Anyon Condensation and the Color Code
Popular Summary The development of large-scale quantum computers requires error-correcting codes that can protect quantum information from the errors that physical hardware suffer. Furthermore, these codes must be able to perform logical operations on encoded information without leaving the computation vulnerable to errors.
Towards provably efficient quantum algorithms for large-scale machine-learning models - Nature Communications
Abstract Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-training and fine-tuning process.
Classical Surrogates for Quantum Learning Models
The advent of noisy intermediate-scale quantum computers has put the search for possible applications to the forefront of quantum information science. One area where hopes for an advantage through near-term quantum computers are high is quantum machine learning, where variational quantum learning models based on parametrized quantum circuits are discussed.
Computational advantage of quantum random sampling
Abstract Quantum random sampling is the leading proposal for demonstrating a computational advantage of quantum computers over classical computers. Recently the first large-scale implementations of quantum random sampling have arguably surpassed the boundary of what can be simulated on existing classical hardware.
[2212.08678] An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Entanglement Estimation in Tensor Network States via Sampling
Abstract We introduce a method for extracting meaningful entanglement measures of tensor network states in general dimensions. Current methods require the explicit reconstruction of the density matrix, which is highly demanding, or the contraction of replicas, which requires an effort exponential in the number of replicas and which is costly in terms of memory.
Rate limits in quantum networks with lossy repeaters
Abstract The derivation of ultimate limits to communication over certain quantum repeater networks have provided extremely valuable benchmarks for assessing near-term quantum communication protocols. However, these bounds are usually derived in the limit of ideal devices and leave questions about the performance of practical implementations unanswered.
Search | arXiv e-print repository
arXiv:2203.05022 [pdf] cs.CC cs.IT A proof of P != NP (New symmetric encryption algorithm against any linear attacks and differential attacks) Authors: Gao Ming Abstract: P vs NP problem is the most important unresolved problem in the field of computational complexity. Its impact has penetrated into all aspects of algorithm design, especially in the field of cryptography. The security of cryptographic algorithms based on short keys depends on whether P is equal to NP.
Sharing Classical Secrets with Continuous-Variable Entanglement: Composable Security and Network Coding Advantage
Abstract Secret sharing is a multiparty cryptographic primitive that can be applied to a network of partially distrustful parties for encrypting data that is both sensitive (it must remain secure) and important (it must not be lost or destroyed). When sharing classical secrets (as opposed to quantum states), one can distinguish between protocols that leverage bipartite quantum key distribution (QKD) and those that exploit multipartite entanglement.
Performance of Hierarchical Sparse Detectors for Massive MTC
Contributors Gerhard Wunder - , Free University of Berlin (Author) Ingo Roth - , Free University of Berlin (Author) Rick Fritschek - , Free University of Berlin (Author) Jens Eisert - , Free University of Berlin (Author) Abstract Recently, a new class of so-called \emph{hierarchical thresholding algorithms} was introduced to optimally exploit the sparsity structure in joint user activity and channel detection problems.
Statistical ensembles without typicality
We begin the presentation of our setting with a motivating example. Consider a small quantum system S with Hamiltonian H within an environment E at temperature T and with Hamiltonian H , that is, an environment in the canonical ensemble at that temperature and Hamilonian. Given an initial quantum state ?
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Jens
Contact Jens, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack