Biotechnics and politics: A genealogy of nonhuman technology

This article presents a new perspective on the intersection of technology, biology, and politics in modern Germany by examining the history of biotechnics, a nonanthropocentric concept of technology that was developed in German-speaking Europe from the 1870s to the 1930s. Biotechnics challenged the traditional view of technology as exclusively a human creation, arguing that nature itself could also be a source of technical innovations. Our study focuses on the contributions of Ernst Kapp, Raoul Heinrich Francé, and Alf Giessler, highlighting the gradual shift in political perspectives that influenced the merging of nature and technology in their respective visions of biotechnics. From Kapp’s liberal radicalism to Francé’s social organicism and ultimately to Giessler’s totalitarian fascism, their writings increasingly vitalized technology by portraying it as a natural force independent from human influence. The history of biotechnics sheds light on previously unexplored aspects of debates surrounding the sciences and philosophy of technology in Germany, while also foreshadowing contemporary discussions on technocultural hybridity. As a genealogy of the idea of nonhuman technology, the article raises perturbing questions about the political implications of conflating nature and culture

Secret Signals from Another World: Walter Benjamin’s Concept of Innervation

Walter Benjamin refers to the “idea of revolution as an innervation of the technical organs of the collective” as one of the articles of his politics. The significance of this assertion has received relatively little attention in the philosophical reception of his political thought compared to the alternative model of revolution – made famous from the paralipomena to the late theses ‘On the Concept of History’ – as the emergency handbrake of history. Drawing on some of the debates and tensions generated by the work of Miriam Bratu Hansen, this discussion aims at an exegesis of some of the lesser known intellectual sources that influenced Benjamin’s theory of innervation. The purpose in doing so is not an attempt to reconcile or integrate these sources with dominant philosophical reconstructions of what is sometimes characterized as Benjamin’s “Western Marxism” and elaborated, in the more familiar context of Surrealist innervation, as a synthesis of Freud and Marx, but rather to reveal an alternative constellation of Soviet biomechanics and reactionary anti-capitalist Lebensphilosophie, united in their shared rejection of Freudian psychoanalysis

Cerebroplacental ratio in predicting adverse perinatal outcome : a meta-analysis of individual participant data

Acknowledgement We would like thank Dr F. Figueras, Prof. E. Gratacos, Dr F. Crispi and Dr J. Miranda for sharing data for this project. The CPR IPD Study Group: Asma Khalil (Fetal Medi- cine Unit, St George’s Hospital Medical School and St George’s University of London, London, UK; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, Lon- don, UK), Basky Thilaganathan (Fetal Medicine Unit, St George’s Hospital Medical School and St George’s Univer- sity of London, London, UK; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, London, UK), Ozhan M Turan (Departments of Obstetrics, Gynecology and Repro- ductive Sciences, University of Maryland School of Medi- cine, Baltimore, MD, USA), Sarah Crimmins (Departments of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA), Chris Harman (Departments of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA), Alis- son M Shannon (Departments of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA), Sailesh Kumar (School of Medicine, The University of Queensland, Brisbane, QLD, Australia; Mater Research Institute – University of Queensland, South Brisbane, QLD, Australia), Patrick Dicker (Department of Epidemiology and Public Health, Royal College of Surgeons in Ireland), Fergal Malone (Departments of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland), Elizabeth C Tully (Departments of Obstetrics and Gynaecology, Royal College of Surgeons in Ireland), Julia Unterscheider (Department of Maternal Fetal Medicine, The Royal Women’s Hospital, Melbourne, VIC, Australia), Isabella Crippa (Department of Obstetrics and Gynaecology, University of Milano-Bicocca, Monza, Italy), Alessandro Ghidini (Department of Obstetrics and Gynae- cology, University of Milano-Bicocca, Monza, Italy), Nadia Roncaglia (Department of Obstetrics and Gynaecology, University of Milano-Bicocca, Monza, Italy), Patrizia Ver- gani (Department of Obstetrics and Gynaecology, Univer- sity of Milano-Bicocca, Monza, Italy), Amarnath Bhide (Fetal Medicine Unit, St George’s Hospital Medical School and St George’s University of London, London, UK), Fran- cesco D’Antonio (Fetal Medicine Unit, St George’s Hospital Medical School and St George’s University of London, London, UK), Gianluigi Pilu (Policlinico S. Orsola-Mal- pighi, University of Bologna, Bologna, Italy), Alberto Galindo (Fetal Medicine Unit-SAMID, Department of Obstetrics and Gynaecology, University Hospital 12 de Octubre, 12 de Octubre Research Institute (imas12), Com- plutense University of Madrid, Madrid, Spain), Ignacio Herraiz (Fetal Medicine Unit-SAMID, Department of Obstetrics and Gynaecology, University Hospital 12 de Octubre, 12 de Octubre Research Institute (imas12), Com- plutense University of Madrid, Madrid, Spain), Alicia Vazquez-Sarandeses(FetalMedicineUnit-SAMID,Depart- ment of Obstetrics and Gynaecology, University Hospital 12 de Octubre, 12 de Octubre Research Institute (imas12), Complutense University of Madrid, Madrid, Spain), Cath- rine Ebbing (Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway), Synnøve L Johnsen (Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway), Henriette O Karlsen (Research Group for Pregnancy, Fetal Develop- ment and Birth, Department of Clinical Science, University of Bergen, Bergen, Norway).Peer reviewedPublisher PD

Predictive accuracy of cerebroplacental ratio for adverse perinatal and neurodevelopmental outcomes in suspected fetal growth restriction: systematic review and meta‐analysis

Objective The cerebroplacental ratio (CPR) has been proposed for the routine surveillance of pregnancies with suspected fetal growth restriction (FGR), but the predictive performance of this test is unclear. The aim of this study was to determine the accuracy of the CPR for predicting adverse perinatal and neurodevelopmental outcomes in suspected FGR. Methods: PubMed, EMBASE, CINAHL, and Lilacs (all from inception to July 31, 2017) were searched for cohort or cross‐sectional studies that reported on the accuracy of the CPR for predicting adverse perinatal and/or neurodevelopmental outcomes in singleton pregnancies with antenatally suspected FGR based on sonographic parameters. Summary receiver operating characteristic (ROC) curves, pooled sensitivities and specificities, and summary likelihood ratios (LRs) were generated. Results: Twenty‐two studies (4301 women) met the inclusion criteria. Summary ROC curves showed that the best predictive accuracy of the CPR was for perinatal death and the worst was for neonatal acidosis, with areas under the summary ROC curves of 0.83 and 0.57, respectively. The predictive accuracy of the CPR was moderate‐to‐high for perinatal death (pooled sensitivity and specificity of 93% and 76%, respectively, and summary positive and negative LRs of 3.9 and 0.09, respectively), and low for composite of adverse perinatal outcomes, cesarean section for non‐reassuring fetal status, Apgar <7 at 5 minutes, admission to the neonatal intensive care unit, neonatal acidosis, and neonatal morbidities with summary positive and negative LRs ranging from 1.1‐2.5, and 0.3‐0.9, respectively. An abnormal CPR result had moderate accuracy for predicting small for gestational age at birth (summary positive LR of 7.4). The CPR had a higher predictive accuracy in pregnancies with suspected early‐onset FGR. No study provided data for assessing the predictive accuracy of the CPR for adverse neurodevelopmental outcomes. Conclusion: The CPR appears to be useful in predicting perinatal death in pregnancies with suspected FGR. Nevertheless, before incorporating the CPR into the routine clinical management of suspected FGR, randomized controlled trials should assess whether the use of the CPR reduces perinatal death or other adverse perinatal outcomes

Formation of robust bound states of interacting microwave photons.

Systems of correlated particles appear in many fields of modern science and represent some of the most intractable computational problems in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles1. The lack of general solutions for the three-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multiparticle bound states2-9. Here we develop a high-fidelity parameterizable fSim gate and implement the periodic quantum circuit of the spin-½ XXZ model in a ring of 24 superconducting qubits. We study the propagation of these excitations and observe their bound nature for up to five photons. We devise a phase-sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the idea that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit

Measurement-induced entanglement and teleportation on a noisy quantum processor

Measurement has a special role in quantum theory: by collapsing the wavefunction it can enable phenomena such as teleportation and thereby alter the "arrow of time" that constrains unitary evolution. When integrated in many-body dynamics, measurements can lead to emergent patterns of quantum information in space-time that go beyond established paradigms for characterizing phases, either in or out of equilibrium. On present-day NISQ processors, the experimental realization of this physics is challenging due to noise, hardware limitations, and the stochastic nature of quantum measurement. Here we address each of these experimental challenges and investigate measurement-induced quantum information phases on up to 70 superconducting qubits. By leveraging the interchangeability of space and time, we use a duality mapping, to avoid mid-circuit measurement and access different manifestations of the underlying phases -- from entanglement scaling to measurement-induced teleportation -- in a unified way. We obtain finite-size signatures of a phase transition with a decoding protocol that correlates the experimental measurement record with classical simulation data. The phases display sharply different sensitivity to noise, which we exploit to turn an inherent hardware limitation into a useful diagnostic. Our work demonstrates an approach to realize measurement-induced physics at scales that are at the limits of current NISQ processors

Phase transition in Random Circuit Sampling

Quantum computers hold the promise of executing tasks beyond the capability of classical computers. Noise competes with coherent evolution and destroys long-range correlations, making it an outstanding challenge to fully leverage the computation power of near-term quantum processors. We report Random Circuit Sampling (RCS) experiments where we identify distinct phases driven by the interplay between quantum dynamics and noise. Using cross-entropy benchmarking, we observe phase boundaries which can define the computational complexity of noisy quantum evolution. We conclude by presenting an RCS experiment with 70 qubits at 24 cycles. We estimate the computational cost against improved classical methods and demonstrate that our experiment is beyond the capabilities of existing classical supercomputers

Suppressing quantum errors by scaling a surface code logical qubit

Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction offers a path to algorithmically-relevant error rates by encoding logical qubits within many physical qubits, where increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number of error sources, so the density of errors must be sufficiently low in order for logical performance to improve with increasing code size. Here, we report the measurement of logical qubit performance scaling across multiple code sizes, and demonstrate that our system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number. We find our distance-5 surface code logical qubit modestly outperforms an ensemble of distance-3 logical qubits on average, both in terms of logical error probability over 25 cycles and logical error per cycle ($2.914\%\pm 0.016\%$ compared to $3.028\%\pm 0.023\%$). To investigate damaging, low-probability error sources, we run a distance-25 repetition code and observe a $1.7\times10^{-6}$ logical error per round floor set by a single high-energy event ($1.6\times10^{-7}$ when excluding this event). We are able to accurately model our experiment, and from this model we can extract error budgets that highlight the biggest challenges for future systems. These results mark the first experimental demonstration where quantum error correction begins to improve performance with increasing qubit number, illuminating the path to reaching the logical error rates required for computation.Comment: Main text: 6 pages, 4 figures. v2: Update author list, references, Fig. S12, Table I

Dynamics of magnetization at infinite temperature in a Heisenberg spin chain

Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the 1D Heisenberg model were conjectured to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we study the probability distribution, $P(\mathcal{M})$, of the magnetization transferred across the chain's center. The first two moments of $P(\mathcal{M})$ show superdiffusive behavior, a hallmark of KPZ universality. However, the third and fourth moments rule out the KPZ conjecture and allow for evaluating other theories. Our results highlight the importance of studying higher moments in determining dynamic universality classes and provide key insights into universal behavior in quantum systems