44 research outputs found
New Directions in Quantum Music: concepts for a quantum keyboard and the sound of the Ising model
We explore ideas for generating sounds and eventually music by using quantum
devices in the NISQ era using quantum circuits. In particular, we first
consider a concept for a "qeyboard", i.e. a quantum keyboard, where the
real-time behaviour of expectation values using a time evolving quantum circuit
can be associated to sound features like intensity, frequency and tone.
Then, we examine how these properties can be extracted from physical quantum
systems, taking the Ising model as an example. This can be realized by
measuring physical quantities of the quantum states of the system, e.g. the
energies and the magnetization obtained via variational quantum simulation
techniques.Comment: Unedited pre-publication chapter which will appear in the book
"Quantum Computer Music" (Springer, 2022), Edited by Miranda, E.
Myb-binding protein 1A (MYBBP1A) is essential for early embryonic development, controls cell cycle and mitosis, and acts as a tumor suppressor
MYBBP1A is a predominantly nucleolar transcriptional regulator involved in rDNA synthesis and p53 activation via
acetylation. However little further information is available as to its function. Here we report that MYBBP1A is
developmentally essential in the mouse prior to blastocyst formation. In cell culture, down-regulation of MYBBP1A
decreases the growth rate of wild type mouse embryonic stem cells, mouse embryo fibroblasts (MEFs) and of human HeLa
cells, where it also promotes apoptosis. HeLa cells either arrest at G2/M or undergo delayed and anomalous mitosis. At
mitosis, MYBBP1A is localized to a parachromosomal region and gene-expression profiling shows that its down-regulation
affects genes controlling chromosomal segregation and cell cycle. However, MYBBP1A down-regulation increases the
growth rate of the immortalized NIH3T3 cells. Such Mybbp1a down-regulated NIH3T3 cells are more susceptible to Ras-induced
transformation and cause more potent Ras-driven tumors. We conclude that MYBBP1A is an essential gene with
novel roles at the pre-mitotic level and potential tumor suppressor activity.NHMRC: This work was supported by Associazione Italiana Ricerche sul Cancro (AIRC) grant 8929 and European Community FP7 201681 ‘‘Prepobedia’’ to FB, the
Australian National Health and Medical Research Council to RK and TJG (project ID000115). The funders had no role in study design, data collection and analysis,
decision to publish, or preparation of the manuscript
Variational quantum eigensolver for causal loop Feynman diagrams and acyclic directed graphs
We present a variational quantum eigensolver (VQE) algorithm for the
efficient bootstrapping of the causal representation of multiloop Feynman
diagrams in the Loop-Tree Duality (LTD) or, equivalently, the selection of
acyclic configurations in directed graphs. A loop Hamiltonian based on the
adjacency matrix describing a multiloop topology, and whose different energy
levels correspond to the number of cycles, is minimized by VQE to identify the
causal or acyclic configurations. The algorithm has been adapted to select
multiple degenerated minima and thus achieves higher detection rates. A
performance comparison with a Grover's based algorithm is discussed in detail.
The VQE approach requires, in general, fewer qubits and shorter circuits for
its implementation, albeit with lesser success rates.Comment: 32 pages, 7 figures. Improved discussion and success rates of
multi-run VQ
Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group
Quantum computers offer an intriguing path for a paradigmatic change of
computing in the natural sciences and beyond, with the potential for achieving
a so-called quantum advantage, namely a significant (in some cases exponential)
speed-up of numerical simulations. The rapid development of hardware devices
with various realizations of qubits enables the execution of small scale but
representative applications on quantum computers. In particular, the
high-energy physics community plays a pivotal role in accessing the power of
quantum computing, since the field is a driving source for challenging
computational problems. This concerns, on the theoretical side, the exploration
of models which are very hard or even impossible to address with classical
techniques and, on the experimental side, the enormous data challenge of newly
emerging experiments, such as the upgrade of the Large Hadron Collider. In this
roadmap paper, led by CERN, DESY and IBM, we provide the status of high-energy
physics quantum computations and give examples for theoretical and experimental
target benchmark applications, which can be addressed in the near future.
Having the IBM 100 x 100 challenge in mind, where possible, we also provide
resource estimates for the examples given using error mitigated quantum
computing
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure fl ux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defi ned as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (inmost higher eukaryotes and some protists such as Dictyostelium ) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the fi eld understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation it is imperative to delete or knock down more than one autophagy-related gene. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways so not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field
Strategies for the determination of the running coupling of (2+1)-dimensional QED with quantum computing
We propose to utilize noisy-intermediate-scale-quantum-era quantum devices to compute short distance quantities in (2+1)-dimensional QED and to combine them with large volume Monte Carlo simulations and perturbation theory. On the quantum computing side, we perform a calculation of the mass gap in the small and intermediate regime, demonstrating, in the latter case, that it can be resolved reliably. The so obtained mass gap can be used to match corresponding results from Monte Carlo simulations, which can be used eventually to set the physical scale. In this paper we provide the setup for the quantum computation and show results for the mass gap and the plaquette expectation value. In addition, we discuss some ideas that can be applied to the computation of the running coupling. Since the theory is asymptotically free, it would serve as a training ground for future studies of QCD in 3+1 dimensions on quantum computers
Strategies for the Determination of the Running Coupling of -dimensional QED with Quantum Computing
We propose to utilize NISQ-era quantum devices to compute short distance quantities in -dimensional QED and to combine them with large volume Monte Carlo simulations and perturbation theory. On the quantum computing side, we perform a calculation of the mass gap in the small and intermediate regime, demonstrating, in the latter case, that it can be resolved reliably. The so obtained mass gap can be used to match corresponding results from Monte Carlo simulations, which can be used eventually to set the physical scale. In this paper we provide the setup for the quantum computation and show results for the mass gap and the plaquette expectation value. In addition, we discuss some ideas that can be applied to the computation of the running coupling. Since the theory is asymptotically free, it would serve as a training ground for future studies of QCD in -dimensions on quantum computers
New Directions in Quantum Music: concepts for a quantum keyboard and the sound of the Ising model
We explore ideas for generating sounds and eventually music by using quantum devices in the NISQ era using quantum circuits. In particular, we first consider a concept for a 'qeyboard', i.e. a quantum keyboard, where the real-time behaviour of expectation values using a time evolving quantum circuit can be associated to sound features like intensity, frequency and tone. Then, we examine how these properties can be extracted from physical quantum systems, taking the Ising model as an example. This can be realized by measuring physical quantities of the quantum states of the system, e.g. the energies and the magnetization obtained via variational quantum simulation techniques
Classical Splitting of Parametrized Quantum Circuits
Barren plateaus appear to be a major obstacle to using variational quantum algorithms to simulate large-scale quantum systems or replace traditional machine learning algorithms. They can be caused by multiple factors such as expressivity, entanglement, locality of observables, or even hardware noise. We propose classical splitting of ansätze or parametrized quantum circuits to avoid barren plateaus. Classical splitting is realized by splitting an qubit ansatz to multiple ansätze that consists of qubits. We show that such an ansatz can be used to avoid barren plateaus. We support our results with numerical experiments and perform binary classification on classical and quantum datasets. Then, we propose an extension of the ansatz that is compatible with variational quantum simulations. Finally, we discuss a speed-up for gradient-based optimization and hardware implementation, robustness against noise and parallelization, making classical splitting an ideal tool for noisy intermediate scale quantum (NISQ) applications