BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:From Colliders to Qubits: Exploring HEP with Quantum Jet Clusterin
 g and QFIAE
DTSTART;VALUE=DATE-TIME:20240513T140000Z
DTEND;VALUE=DATE-TIME:20240513T143000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23700@indico.ific.uv.es
DESCRIPTION:Speakers: Leandro Cieri (IFIC)\nHigh-energy physics (HEP) expe
 riments generate massive datasets that challenge classical computing metho
 ds. Quantum computing offers promising avenues to tackle these challenges.
  This talk presents two applications of quantum algorithms in HEP:\n\nQuan
 tum Jet Clustering: This method leverages the principles of superposition 
 and entanglement to efficiently reconstruct jets of particles emerging fro
 m high-energy collisions. (arXiv: 2204.06496 [hep-ph])\n\nQuantum Fourier 
 Iterative Amplitude Estimation (QFIAE): This novel algorithm accelerates t
 he computation of multidimensional integrals\, a crucial task in HEP calcu
 lations. (arXiv: 2305.01686v2 [quant-ph])\n\nBy exploring these applicatio
 ns\, we demonstrate the potential of quantum computing to revolutionize HE
 P data analysis and unlock new discoveries in the subatomic world.\n\nhttp
 s://indico.ific.uv.es/event/7567/contributions/23700/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23700/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Steady-state quantum thermodynamics with synthetic negative temper
 atures
DTSTART;VALUE=DATE-TIME:20240513T133000Z
DTEND;VALUE=DATE-TIME:20240513T140000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23691@indico.ific.uv.es
DESCRIPTION:Speakers: Mohit Bera ()\nA bath with a negative temperature is
  a subject of intense debate in recent times. It raises fundamental questi
 ons not only on our understanding of negative temperature of a bath in con
 nection with thermodynamics but also on the possibilities of constructing 
 devices using such baths. In this work\, we study steady-state quantum the
 rmodynamics involving baths with negative temperatures. A bath with a nega
 tive temperature is created synthetically using two baths of positive temp
 eratures and weakly coupling these with a qutrit system. These baths are t
 hen coupled to each other via a working system. At steady state\, the laws
  of thermodynamics are analyzed. We find that whenever the temperatures of
  these synthetic baths are identical\, there is no heat flow\, which reaff
 irms the zeroth law. There is always a spontaneous heat flow for different
  temperatures. In particular\, heat flows from a bath with a negative temp
 erature to a bath with a positive temperature which\, in turn\, implies th
 at a bath with a negative temperature is “hotter” than a bath with a p
 ositive temperature. This warrants an amendment in the Kelvin-Planck state
 ment of the second law\, as suggested in earlier studies. In all these pro
 cesses\, the overall entropy production is positive\, as required by the C
 lausius statement of the second law. We construct continuous heat engines 
 operating between positive and negative temperature baths. These engines y
 ield maximum possible heat-to-work conversion efficiency\, that is\, unity
 . We also study the thermodynamic nature of heat from a bath with a negati
 ve temperature and find that it is thermodynamic work but with negative en
 tropy.\n\nhttps://indico.ific.uv.es/event/7567/contributions/23691/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23691/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Quantum metrology with finite samples: Generalizing the quantum Cr
 amér-Rao bound
DTSTART;VALUE=DATE-TIME:20240513T130000Z
DTEND;VALUE=DATE-TIME:20240513T133000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23660@indico.ific.uv.es
DESCRIPTION:Speakers: Manuel Gessner (Departamento de Física Teórica & I
 FIC\, Universidad de Valencia-CSIC)\nThe cornerstone of modern quantum met
 rology is the quantum Cramér-Rao bound and the quantum Fisher information
 . Under generic conditions\, this bound can be saturated by an optimal est
 imator and measurement\, provided that many repeated measurements on the s
 ystem are performed. However\, in the presence of smaller data sets it typ
 ically largely underestimates the error that can actually be achieved. In 
 this talk\, we present a family of generalized bounds on the variance of u
 nbiased estimators that are larger than the quantum Cramér-Rao bound when
  the sample is small and thereby provide a more realistic limit on the ach
 ievable precision of a finite-sample quantum measurement. In the large-dat
 a limit\, the hierarchy of bounds collapses back onto the quantum Cramér-
 Rao bound.\n\nhttps://indico.ific.uv.es/event/7567/contributions/23660/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23660/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Low-Level mapping techniques for quantum network applications
DTSTART;VALUE=DATE-TIME:20240513T123000Z
DTEND;VALUE=DATE-TIME:20240513T130000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23658@indico.ific.uv.es
DESCRIPTION:Speakers: Anabel Ovide (UPV)\nQuantum networks represent a nov
 el approach for facilitating information\nexchange across distant location
 s through the deployment of various quantum\napplications\, including Quan
 tum Key Distribution (QKD) and blind comput-\ning. These applications are 
 structured into programs comprising both classical\nand quantum code\, typ
 ically executed in a sequential manner on disparate end\nnodes. These end 
 nodes\, constituting quantum processors\, are composed of\ncommunication a
 nd memory qubits that interact via entanglement and classi-\ncal communica
 tion protocols. Among the candidate architectures for such end\nnodes\, io
 n trap systems exhibit promising characteristics owing to their ex-\ntende
 d coherence times and precise qubit manipulation capabilities. Nonethe-\nl
 ess\, achieving scalability within a single quantum processor presents a n
 otable\nchallange\, as the introduction of additional qubits within a trap
  amplifies noise\nand heating phenomena\, thereby diminishing operational 
 fidelity. To address\nthis challenge\, Trapped-ion Quantum Charge-Coupled 
 Device (QCCD) archi-\ntectures have been proposed\, which entail the inter
 connection of multiple traps\nalongside the utilization of ion shuttling m
 echanisms for ion transfer among\ntraps. This innovative architectural fra
 mework necessitates the development\nof novel mapping methodologies tailor
 ed to quantum algorithms\, with a focus\non efficient qubit allocation\, r
 outing\, and operation scheduling optimized for\nquantum network applicati
 ons. The primary objective of such mapping tech-\nniques is to minimize io
 n movements\, thereby reducing circuit execution time\nand enhancing overa
 ll fidelity.\n\nhttps://indico.ific.uv.es/event/7567/contributions/23658/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23658/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Physics-Informed Neural Networks for an optimal counterdiabatic qu
 antum computation
DTSTART;VALUE=DATE-TIME:20240513T103000Z
DTEND;VALUE=DATE-TIME:20240513T110000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23656@indico.ific.uv.es
DESCRIPTION:Speakers: Antonio Ferrer Sánchez (ETSE\, UV)\, José J.  Orqu
 ín Marqués ()\nWe introduce a novel methodology that leverages the stren
 gth of Physics-Informed Neural Networks (PINNs) to address the counterdiab
 atic (CD) protocol in the optimization of quantum circuits comprised of sy
 stems with $N_{Q}$ qubits. The primary objective is to utilize physics-ins
 pired deep learning techniques to accurately solve the time evolution of t
 he different physical observables within the quantum system. To accomplish
  this objective\, we embed the necessary physical information into an unde
 rlying neural network to effectively tackle the problem. In particular\, w
 e impose the hermiticity condition on all physical observables and make us
 e of the principle of least action\, guaranteeing the acquisition of the m
 ost appropriate counterdiabatic terms based on the underlying physics. The
  proposed approach offers a dependable alternative to address the CD drivi
 ng problem\, free from the constraints typically encountered in previous m
 ethodologies relying on classical numerical approximations. Our method pro
 vides a general framework to obtain optimal results from the physical obse
 rvables relevant to the problem\, including the external parameterization 
 in time known as scheduling function\, the gauge potential or operator inv
 olving the non-adiabatic terms\, as well as the temporal evolution of the 
 energy levels of the system\, among others. The main applications of this 
 methodology have been the $\\mathrm{H_{2}}$ and $\\mathrm{LiH}$ molecules\
 , represented by a 2-qubit and 4-qubit systems employing the STO-3G basis.
  The presented results demonstrate the successful derivation of a desirabl
 e decomposition for the non-adiabatic terms\, achieved through a linear co
 mbination utilizing Pauli operators. This attribute confers significant ad
 vantages to its practical implementation within quantum computing algorith
 ms.\n\nhttps://indico.ific.uv.es/event/7567/contributions/23656/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23656/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Machine Learning for maximizing the memristivity of single and cou
 pled quantum memristors
DTSTART;VALUE=DATE-TIME:20240513T100000Z
DTEND;VALUE=DATE-TIME:20240513T103000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23657@indico.ific.uv.es
DESCRIPTION:Speakers: Carlos Hernani Morales (ETSE\, UV)\nWe propose machi
 ne learning (ML) methods to characterize the memristive properties of sing
 le and coupled quantum memristors. We show that maximizing the memristivit
 y leads to large values in the degree of entanglement of two quantum memri
 stors\, unveiling the close relationship between quantum correlations and 
 memory. Our results strengthen the possibility of using quantum memristors
  as key components of neuromorphic quantum computing.\n\nhttps://indico.if
 ic.uv.es/event/7567/contributions/23657/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23657/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Error-aware quantum circuit compilation
DTSTART;VALUE=DATE-TIME:20240513T093000Z
DTEND;VALUE=DATE-TIME:20240513T100000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23659@indico.ific.uv.es
DESCRIPTION:Speakers: Laura Rodríguez (UPV)\nReliably executing quantum a
 lgorithms on noisy intermediate-scale quantum (NISQ) devices is\nchallengi
 ng\, as they are severely constrained and prone to errors. Efficient quant
 um circuit\ncompilation techniques are therefore crucial for overcoming th
 eir limitations and dealing with\ntheir high error rates. These techniques
  consider the quantum hardware restrictions\, such as the\nlimited qubit c
 onnectivity\, and perform some transformations to the original circuit so 
 that it can\nbe executed on a given quantum processor. Certain compilation
  methods use error information\nbased on calibration data to further impro
 ve the success probability or the fidelity of the circuit to\nbe run. Howe
 ver\, it is uncertain to what extent incorporating calibration information
  in the\ncompilation process can enhance the circuit performance. For inst
 ance\, considering the most\nrecent error data provided by vendors after c
 alibrating the processor might not be functional\nenough as quantum system
 s are subject to drift\, making the latest calibration data obsolete withi
 n\nminutes.\nIn this talk\, we will discuss how different usage of calibra
 tion data impacts the circuit fidelity\, by\nusing several compilation tec
 hniques and quantum processors (IBM Perth and Brisbane). To this\naim\, we
  will present a framework that incorporates some of the state-of-the-art n
 oise-aware and\nnon-noise-aware compilation techniques and allows the user
  to perform fair comparisons under\nsimilar processor conditions. Our expe
 riments yield valuable insights into the effects of noise-\naware methodol
 ogies and the employment of calibration data. The main finding is that pre
 -\nprocessing historical calibration data can improve fidelity when real-t
 ime calibration data is not\navailable due to factors such as cloud servic
 e latency and waiting queues between compilation\nand execution on the qua
 ntum backend.\n\nhttps://indico.ific.uv.es/event/7567/contributions/23659/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23659/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Digital-analog quantum convolutional neural networks for image cla
 ssification
DTSTART;VALUE=DATE-TIME:20240513T083000Z
DTEND;VALUE=DATE-TIME:20240513T090000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23655@indico.ific.uv.es
DESCRIPTION:Speakers: Carlos Flores Garrigós (ETSE\, UV)\nWe propose digi
 tal-analog quantum kernels for enhancing the detection of complex features
  in the classification of images. We consider multipartite-entangled analo
 g blocks\, stemming from native Ising interactions in neutral-atom quantum
  processors\, and individual operations as digital steps to implement the 
 protocol. To further improving the detection of complex features\, we appl
 y multiple quantum kernels by varying the qubit connectivity according to 
 the hardware constraints. An architecture that combines non-trainable quan
 tum kernels and standard convolutional neural networks is used to classify
  realistic medical images\, from breast cancer and pneumonia diseases\, wi
 th a significantly reduced number of parameters. Despite this fact\, the m
 odel exhibits better performance than its classical counterparts and achie
 ves comparable metrics according to public benchmarks. These findings demo
 nstrate the relevance of digital-analog encoding\, paving the way for surp
 assing classical models in image recognition approaching us to quantum-adv
 antage regimes.\n\nhttps://indico.ific.uv.es/event/7567/contributions/2365
 5/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23655/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bell states with three component strongly interacting few-atom sys
 tems
DTSTART;VALUE=DATE-TIME:20240513T080000Z
DTEND;VALUE=DATE-TIME:20240513T083000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23654@indico.ific.uv.es
DESCRIPTION:Speakers: Miguel Ángel García-March (UPV)\nWe discuss the co
 mplete ground-state phase diagram for a one-dimensional ultracold few-atom
  triple mixture of interacting bosons trapped harmonically as the differen
 t coupling constant strengths range from zero  to strong repulsive interac
 tions. These results show that there are new appealing ground-state phases
  with various correlations\, coherence and spatial localization stemming f
 rom strongly repulsive interactions.We pay particular attention to the reg
 ime in which atomic Bell states can be found and manipulated. We discuss t
 heir interest as a system valid to implement quantum gates experimentally.
 \n\nhttps://indico.ific.uv.es/event/7567/contributions/23654/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23654/
END:VEVENT
BEGIN:VEVENT
SUMMARY:A Feynman propagator as a qubit
DTSTART;VALUE=DATE-TIME:20240513T073000Z
DTEND;VALUE=DATE-TIME:20240513T080000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23653@indico.ific.uv.es
DESCRIPTION:Speakers: Germán Rodrigo ((IFIC\, Universidad de Valencia-CSI
 C))\nTheoretical predictions at high-energy colliders are based on encodin
 g the quantum fluctuations that occur at very short distances by Feynman d
 iagrams. These diagrams are made up of interaction vertices and propagator
 s\, which in fact represent a quantum superposition of propagation in the 
 two directions between two interaction vertices. Therefore\, Feynman propa
 gators can be identified with qubits. We analyse the consequences of this 
 interpretation and how it can be exploited to derive a manifestly causal r
 epresentation of scattering amplitudes\, leading to achievable theoretical
  predictions in quantum field theory at very high perturbative orders.\n\n
 https://indico.ific.uv.es/event/7567/contributions/23653/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23653/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Welcome
DTSTART;VALUE=DATE-TIME:20240513T072000Z
DTEND;VALUE=DATE-TIME:20240513T073000Z
DTSTAMP;VALUE=DATE-TIME:20260421T132030Z
UID:indico-contribution-7567-23652@indico.ific.uv.es
DESCRIPTION:Speakers: Armando Pérez (Armando Pérez (Departamento de Fís
 ica Teórica & IFIC\, Universidad de Valencia-CSIC))\nhttps://indico.ific.
 uv.es/event/7567/contributions/23652/
LOCATION:ETSE  Room "Joan Pelechano"
URL:https://indico.ific.uv.es/event/7567/contributions/23652/
END:VEVENT
END:VCALENDAR
