Case report: a case of intractable Meniere's disease treated with autogenic training

<p>Abstract</p> <p>Background</p> <p>Psychological stress plays an important role in the onset and course of Meniere's disease. Surgical therapy and intratympanic gentamicin treatment are options for cases that are intractable to conventional medical therapy. Psychotherapy, however, including autogenic training (AT), which can be used for general relaxation, is not widely accepted. This paper describes the successful administration of AT in a subject suffering from intractable Meniere's disease.</p> <p>Case presentation</p> <p>A 51-year-old male patient has suffered from fluctuating right sensorineural hearing loss with vertigo since 1994. In May 2002, he was first admitted to our hospital due to a severe vertigo attack accompanied by right sensorineural hearing loss. Spontaneous nystagmus toward the right side was observed. Since April 2004, he has experienced vertigo spells with right-sided tinnitus a few times per month that are intractable to conventional medical therapy. After four months, tympanic tube insertion was preformed in the right tympanic membrane. Intratympanic injection of dexamethasone was ineffective. He refused Meniett therapy and intratympanic gentamicin injection. In addition to his vertigo spells, he suffered from insomnia, tinnitus, and anxiety. Tranquilizers such as benzodiazepines and antidepressants such as serotonin selective re-uptake inhibitors (SSRIs) failed to stop the vertigo and only slightly improved his insomnia. In December 2006, the patient began psychological counseling with a psychotherapist. After brief psychological counseling along with cognitive behavior therapy (CBT), he began AT. He diligently and regularly continued his AT training in his home according to a written timetable. His insomnia, tinnitus, and vertigo spells disappeared within a few weeks after only four psychotherapy sessions. In order to master the six standard formulas of AT, he underwent two more sessions. Thereafter, he underwent follow-up for 9 months with no additional treatment. He is now free from drugs, including tranquilizers, and has continued AT. No additional treatment was performed. When we examined him <b>six </b>and nine months later for follow-up, he was free of vertigo and insomnia.</p> <p>Conclusion</p> <p>AT together with CBT can be a viable and palatable treatment option for Meniere's disease patients who are not responsive to other therapies.</p

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

Overcoming leakage in scalable quantum error correction

Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit interactions. This leads to correlated errors that degrade the exponential suppression of logical error with scale, challenging the feasibility of QEC as a path towards fault-tolerant quantum computation. Here, we demonstrate the execution of a distance-3 surface code and distance-21 bit-flip code on a Sycamore quantum processor where leakage is removed from all qubits in each cycle. This shortens the lifetime of leakage and curtails its ability to spread and induce correlated errors. We report a ten-fold reduction in steady-state leakage population on the data qubits encoding the logical state and an average leakage population of less than $1 \times 10^{-3}$ throughout the entire device. The leakage removal process itself efficiently returns leakage population back to the computational basis, and adding it to a code circuit prevents leakage from inducing correlated error across cycles, restoring a fundamental assumption of QEC. With this demonstration that leakage can be contained, we resolve a key challenge for practical QEC at scale.Comment: Main text: 7 pages, 5 figure

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

Non-Abelian braiding of graph vertices in a superconducting processor

Indistinguishability of particles is a fundamental principle of quantum mechanics. For all elementary and quasiparticles observed to date - including fermions, bosons, and Abelian anyons - this principle guarantees that the braiding of identical particles leaves the system unchanged. However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotations in a space of topologically degenerate wavefunctions. Hence, it can change the observables of the system without violating the principle of indistinguishability. Despite the well developed mathematical description of non-Abelian anyons and numerous theoretical proposals, the experimental observation of their exchange statistics has remained elusive for decades. Controllable many-body quantum states generated on quantum processors offer another path for exploring these fundamental phenomena. While efforts on conventional solid-state platforms typically involve Hamiltonian dynamics of quasi-particles, superconducting quantum processors allow for directly manipulating the many-body wavefunction via unitary gates. Building on predictions that stabilizer codes can host projective non-Abelian Ising anyons, we implement a generalized stabilizer code and unitary protocol to create and braid them. This allows us to experimentally verify the fusion rules of the anyons and braid them to realize their statistics. We then study the prospect of employing the anyons for quantum computation and utilize braiding to create an entangled state of anyons encoding three logical qubits. Our work provides new insights about non-Abelian braiding and - through the future inclusion of error correction to achieve topological protection - could open a path toward fault-tolerant quantum computing

What is important in transdisciplinary pain neuroscience education? : A qualitative study

Purpose: The main focus of Pain Neuroscience Education is around changing patients’ pain perceptions and minimizing further medical care. Even though Pain Neuroscience Education has been studied extensively, the experiences of patients regarding the Pain Neuroscience Education process remain to be explored. Therefore, the aim of this study was to explore the experiences in patients with non-specific chronic pain. Materials and methods: Fifteen patients with non-specific chronic pain from a transdisciplinary treatment centre were in-depth interviewed. Data collection and analysis were performed according to Grounded Theory. Results: Five interacting topics emerged: (1) “the pre-Pain Neuroscience Education phase”, involving the primary needs to provide Pain Neuroscience Education, with subthemes containing (a) “a broad intake” and (b) “the healthcare professionals”; (2) “a comprehensible Pain Neuroscience Education” containing (a) “understandable explanation” and (b) “interaction between the physiotherapist and psychologist”; (3) “outcomes of Pain Neuroscience Education” including (a) “awareness”, b) “finding peace of mind”, and (c) “fewer symptoms”; 4) “"scepticism” containing (a) “doubt towards the diagnosis and Pain Neuroscience Education”, (b) “disagreement with the diagnosis and Pain Neuroscience Education”, and (c) “Pain Neuroscience Education can be confronting”. Conclusion: This is the first study providing insight into the constructs contributing to the Pain Neuroscience Education experience of patients with non-specific chronic pain. The results reveal the importance of the therapeutic alliance between the patient and caregiver, taking time, listening, providing a clear explanation, and the possible outcomes when doing so. The findings from this study can be used to facilitate healthcare professionals in providing Pain Neuroscience Education to patients with non-specific chronic pain. Implications for RehabilitationAn extensive biopsychosocial patient centred intake is crucial prior to providing Pain Neuroscience Education.Repetitions of Pain Neuroscience Education, in different forms (verbal and written information, examples, drawings, etc.) help patients to understand the theory of neurophysiology.Pain Neuroscience Education induces insight into the patient’s complaints, improved coping with complaints, improved self-control, and induces in some cases peace of mind.Healthcare professionals providing Pain Neuroscience Education should be aware of the possible confronting nature of the contributing factors