60 research outputs found
Deep quantum neural networks equipped with backpropagation on a superconducting processor
Deep learning and quantum computing have achieved dramatic progresses in
recent years. The interplay between these two fast-growing fields gives rise to
a new research frontier of quantum machine learning. In this work, we report
the first experimental demonstration of training deep quantum neural networks
via the backpropagation algorithm with a six-qubit programmable superconducting
processor. In particular, we show that three-layer deep quantum neural networks
can be trained efficiently to learn two-qubit quantum channels with a mean
fidelity up to 96.0% and the ground state energy of molecular hydrogen with an
accuracy up to 93.3% compared to the theoretical value. In addition, six-layer
deep quantum neural networks can be trained in a similar fashion to achieve a
mean fidelity up to 94.8% for learning single-qubit quantum channels. Our
experimental results explicitly showcase the advantages of deep quantum neural
networks, including quantum analogue of the backpropagation algorithm and less
stringent coherence-time requirement for their constituting physical qubits,
thus providing a valuable guide for quantum machine learning applications with
both near-term and future quantum devices.Comment: 7 pages (main text) + 11 pages (Supplementary Information), 10
figure
Beating the break-even point with a discrete-variable-encoded logical qubit
Quantum error correction (QEC) aims to protect logical qubits from noises by
utilizing the redundancy of a large Hilbert space, where an error, once it
occurs, can be detected and corrected in real time. In most QEC codes, a
logical qubit is encoded in some discrete variables, e.g., photon numbers. Such
encoding schemes make the codewords orthogonal, so that the encoded quantum
information can be unambiguously extracted after processing. Based on such
discrete-variable encodings, repetitive QEC demonstrations have been reported
on various platforms, but there the lifetime of the encoded logical qubit is
still shorter than that of the best available physical qubit in the entire
system, which represents a break-even point that needs to be surpassed for any
QEC code to be of practical use. Here we demonstrate a QEC procedure with a
logical qubit encoded in photon-number states of a microwave cavity,
dispersively coupled to an ancilla superconducting qubit. By applying a pulse
featuring a tailored frequency comb to the ancilla, we can repetitively extract
the error syndrome with high fidelity and perform error correction with
feedback control accordingly, thereby exceeding the break-even point by about
16% lifetime enhancement. Our work illustrates the potential of the
hardware-efficient discrete-variable QEC codes towards a reliable quantum
information processor.Comment: Main text: 8 pages, 3 figures, 1 table; Supplement: 12 pages, 8
figures, 2 table
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Unpack the relational and behavioral outcomes of internal CSR: Highlighting dialogic communication and managerial facilitation
â˘Internal CSR affects the sub-types of employee-organization relationships differently.â˘Organization-public dialogic communication about CSR positively affects communal relationship.â˘Management behaviors that facilitate employee CSR involvement positively affect exchange relationship.â˘Communal relationship will increase employeeâs positive megaphoning and decrease their negative megaphoning behaviors.â˘Exchange relationship will increase both positive and negative megaphoning behaviors for employees.
This study examines how corporate social responsibility (CSR) communication and management contributes to internal public relationship building and employeesâ megaphoning behaviors. Specifically, it investigates how organization-public dialogic communication (OPDC) about CSR and organizational leadersâ facilitation behaviors for employeesâ CSR engagement influence employeesâ perceptions of two distinct types of organization-public relationships: communal and exchange relationships. Structural equation modeling results of 660 online survey responses suggest that OPDC has a positive association with communal relationships and negative association with exchange relationships. Facilitation behavior positively contributes to exchange relationships. Both communal and exchange relationships are positively associated with employeesâ positive megaphoning. Yet, negative megaphoning is negatively linked with communal relationships and positively linked with exchange relationships. This study contributes to the growing body of literature on internal CSR communication and management. More importantly, it uncovers the nuanced effects of CSR on employee-organization communal and exchange relationship building
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The interplay between post-crisis response strategy and pre-crisis corporate associations in the context of CSR crises
â˘A typology of corporate association-based crisis response strategies is proposed.â˘The effects of two association-based (CA vs. CSR) response strategies are compared.â˘Prior associations and crisis response strategies jointly impact consumer outcomes.â˘Overall, a CSR-related response is more effective in dealing with a CSR crisis.
How should a company respond to a crisis that is related to its social responsibility by capitalizing on consumersâ existing corporate associations? To answer this question, the present study focuses on two primary types of corporate associations, corporate ability (CA) associations and corporate social responsibility (CSR) associations, and proposes two different types of response strategies that are association-based: CA strategy and CSR strategy. Drawing on the framework of CA-CSR, Expectancy Violation Theory, and information processing literature, this study examines whether and how these crisis response strategies interact with consumersâ pre-crisis associations and collectively influence consumer reactions in times of CSR crises. Results of two experiments render support for the predicted interaction effect. Furthermore, the results show that crisis response diagnosticity and novelty, as perceived by consumers with varied pre-crisis associations, serve as the underlying process explanations that drive the observed interaction effect. Theoretical contributions and practical implications of these results to crisis communication are also discussed
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Building consumer communal relationships through causeârelated marketing: From the perspective of persuasion knowledge
This study investigates the value of causeârelated marketing (CRM) campaigns in consumer relationship management. Specifically, following the tenets of persuasion knowledge model and equity theory, this study proposes that the effect of consumers' inferences of companies' manipulative intent (IMI) in CRM campaigns on consumerâbrand communal relationships is contingent on consumers' knowledge about the degree to which the companies and the social cause benefit from the campaigns. A panel of 506âU.S. consumers was recruited to complete an online survey. Results reveal that when consumers believe that nonprofit partners benefit more from a CRM campaign than the company does, IMI positively affects consumerâbrand communal relationships. However, when consumers perceive greater corporate benefits than social benefits, IMI negatively affects consumerâbrand communal relationships. These results present a convincing case that in order to cultivate a longâterm communal relationship with consumers, companies should promote their CRM programs by highlighting these programs' social benefits and impact. If such programs are considered to yield more corporate benefits, companies should make efforts to mitigate the negative impact that IMI may bring to consumerâbrand communal relationships. This study also advances our existing understanding of communal relationships and CRM by unveiling how CRMârelated factors collectively influence corporate building of a longâterm communal relationship with consumers. We hope to inspire future researchers who are interested in bridging CRM and communal relationship literature to inform effective CRM practice
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