TY - CONF AB - There is currently significant interest in operating devices in the quantum regime, where their behaviour cannot be explained through classical mechanics. Quantum states, including entangled states, are fragile and easily disturbed by excessive thermal noise. Here we address the question of whether it is possible to create non-reciprocal devices that encourage the flow of thermal noise towards or away from a particular quantum device in a network. Our work makes use of the cascaded systems formalism to answer this question in the affirmative, showing how a three-port device can be used as an effective thermal transistor, and illustrates how this formalism maps onto an experimentally-realisable optomechanical system. Our results pave the way to more resilient quantum devices and to the use of thermal noise as a resource. AU - Xuereb, André AU - Aquilina, Matteo AU - Barzanjeh, Shabir ED - Andrews, D L ED - Ostendorf, A ED - Bain, A J ED - Nunzi, J M ID - 155 TI - Routing thermal noise through quantum networks VL - 10672 ER - TY - JOUR AB - Cuprate superconductors have long been thought of as having strong electronic correlations but negligible spin-orbit coupling. Using spin- and angle-resolved photoemission spectroscopy, we discovered that one of the most studied cuprate superconductors, Bi2212, has a nontrivial spin texture with a spin-momentum locking that circles the Brillouin zone center and a spin-layer locking that allows states of opposite spin to be localized in different parts of the unit cell. Our findings pose challenges for the vast majority of models of cuprates, such as the Hubbard model and its variants, where spin-orbit interaction has been mostly neglected, and open the intriguing question of how the high-temperature superconducting state emerges in the presence of this nontrivial spin texture. AU - Gotlieb, Kenneth AU - Lin, Chiu-Yun AU - Serbyn, Maksym AU - Zhang, Wentao AU - Smallwood, Christopher L. AU - Jozwiak, Christopher AU - Eisaki, Hiroshi AU - Hussain, Zahid AU - Vishwanath, Ashvin AU - Lanzara, Alessandra ID - 5767 IS - 6420 JF - Science SN - 0036-8075 TI - Revealing hidden spin-momentum locking in a high-temperature cuprate superconductor VL - 362 ER - TY - JOUR AB - Facial shape is the basis for facial recognition and categorization. Facial features reflect the underlying geometry of the skeletal structures. Here, we reveal that cartilaginous nasal capsule (corresponding to upper jaw and face) is shaped by signals generated by neural structures: brain and olfactory epithelium. Brain-derived Sonic Hedgehog (SHH) enables the induction of nasal septum and posterior nasal capsule, whereas the formation of a capsule roof is controlled by signals from the olfactory epithelium. Unexpectedly, the cartilage of the nasal capsule turned out to be important for shaping membranous facial bones during development. This suggests that conserved neurosensory structures could benefit from protection and have evolved signals inducing cranial cartilages encasing them. Experiments with mutant mice revealed that the genomic regulatory regions controlling production of SHH in the nervous system contribute to facial cartilage morphogenesis, which might be a mechanism responsible for the adaptive evolution of animal faces and snouts. AU - Kaucka, Marketa AU - Petersen, Julian AU - Tesarova, Marketa AU - Szarowska, Bara AU - Kastriti, Maria AU - Xie, Meng AU - Kicheva, Anna AU - Annusver, Karl AU - Kasper, Maria AU - Symmons, Orsolya AU - Pan, Leslie AU - Spitz, Francois AU - Kaiser, Jozef AU - Hovorakova, Maria AU - Zikmund, Tomas AU - Sunadome, Kazunori AU - Matise, Michael P AU - Wang, Hui AU - Marklund, Ulrika AU - Abdo, Hind AU - Ernfors, Patrik AU - Maire, Pascal AU - Wurmser, Maud AU - Chagin, Andrei S AU - Fried, Kaj AU - Adameyko, Igor ID - 162 JF - eLife TI - Signals from the brain and olfactory epithelium control shaping of the mammalian nasal capsule cartilage VL - 7 ER - TY - CONF AB - At ITCS 2013, Mahmoody, Moran and Vadhan [MMV13] introduce and construct publicly verifiable proofs of sequential work, which is a protocol for proving that one spent sequential computational work related to some statement. The original motivation for such proofs included non-interactive time-stamping and universally verifiable CPU benchmarks. A more recent application, and our main motivation, are blockchain designs, where proofs of sequential work can be used – in combination with proofs of space – as a more ecological and economical substitute for proofs of work which are currently used to secure Bitcoin and other cryptocurrencies. The construction proposed by [MMV13] is based on a hash function and can be proven secure in the random oracle model, or assuming inherently sequential hash-functions, which is a new standard model assumption introduced in their work. In a proof of sequential work, a prover gets a “statement” χ, a time parameter N and access to a hash-function H, which for the security proof is modelled as a random oracle. Correctness requires that an honest prover can make a verifier accept making only N queries to H, while soundness requires that any prover who makes the verifier accept must have made (almost) N sequential queries to H. Thus a solution constitutes a proof that N time passed since χ was received. Solutions must be publicly verifiable in time at most polylogarithmic in N. The construction of [MMV13] is based on “depth-robust” graphs, and as a consequence has rather poor concrete parameters. But the major drawback is that the prover needs not just N time, but also N space to compute a proof. In this work we propose a proof of sequential work which is much simpler, more efficient and achieves much better concrete bounds. Most importantly, the space required can be as small as log (N) (but we get better soundness using slightly more memory than that). An open problem stated by [MMV13] that our construction does not solve either is achieving a “unique” proof, where even a cheating prover can only generate a single accepting proof. This property would be extremely useful for applications to blockchains. AU - Cohen, Bram AU - Pietrzak, Krzysztof Z ID - 302 TI - Simple proofs of sequential work VL - 10821 ER - TY - JOUR AB - Correlations in sensory neural networks have both extrinsic and intrinsic origins. Extrinsic or stimulus correlations arise from shared inputs to the network and, thus, depend strongly on the stimulus ensemble. Intrinsic or noise correlations reflect biophysical mechanisms of interactions between neurons, which are expected to be robust to changes in the stimulus ensemble. Despite the importance of this distinction for understanding how sensory networks encode information collectively, no method exists to reliably separate intrinsic interactions from extrinsic correlations in neural activity data, limiting our ability to build predictive models of the network response. In this paper we introduce a general strategy to infer population models of interacting neurons that collectively encode stimulus information. The key to disentangling intrinsic from extrinsic correlations is to infer the couplings between neurons separately from the encoding model and to combine the two using corrections calculated in a mean-field approximation. We demonstrate the effectiveness of this approach in retinal recordings. The same coupling network is inferred from responses to radically different stimulus ensembles, showing that these couplings indeed reflect stimulus-independent interactions between neurons. The inferred model predicts accurately the collective response of retinal ganglion cell populations as a function of the stimulus. AU - Ferrari, Ulisse AU - Deny, Stephane AU - Chalk, Matthew J AU - Tkacik, Gasper AU - Marre, Olivier AU - Mora, Thierry ID - 31 IS - 4 JF - Physical Review E SN - 24700045 TI - Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons VL - 98 ER -